SC‐200 Security Operations Analyst - itnett/FTD02H-N GitHub Wiki

• https://mssecure.event.microsoft.com/home
• https://github.com/search?q=SC%E2%80%90200
• https://app.pluralsight.com/paths/certificate/microsoft-security-operations-analyst-sc-200
• https://learn.microsoft.com/en-us/training/browse/?terms=SC-200
• https://learn.microsoft.com/en-us/training/browse/?terms=SC-200&roles=security-operations-analyst
• https://learn.microsoft.com/en-us/training/browse/?terms=SC-200&roles=security-engineer
• https://learn.microsoft.com/en-us/training/courses/sc-200t00
• https://learn.microsoft.com/en-us/training/courses/sc-200t00#course-syllabus
• https://learn.microsoft.com/en-us/credentials/certifications/security-operations-analyst/?practice-assessment-type=certification

https://mslabs.cloudguides.com/guides/SC-200%20Lab%20Simulation%20-%20Mitigate%20attacks%20with%20Microsoft%20Defender%20for%20Endpoint

1. AZ-500: Azure Security Engineer
2. SC-100: Cybersecurity Architect
3. SC-200: Security Operations Analyst
4. SC-300: Identity and Access Administrator
5. SC-400: Information Protection Administrator

Based on detailed requirements for the Blue Team Level 1 Junior Security Operations Certification, the best match among these courses appears to be:

SC-200: Security Operations Analyst

This course aligns well with the key themes and content areas you mentioned:

• Cybersikkerhet (Cybersecurity)

• Emnets innhold (Content of the subject):

  • Grunnleggende sikkerhetsprinsipper (Basic security principles)
  • Grunnleggende sikkerhet (Basic security)
  • Trusselbilde innen IT-sikkerhet (Threat landscape in IT security)
  • Angreps- og forsvarsmetoder (Attack and defense methods)
  • Risikostyring (Risk management)
  • Rammeverk for IT-sikkerhet (IT security frameworks)
  • Lover og regler (Laws and regulations)

• Læringsutbytte (Learning outcomes):

  • Kunnskap (Knowledge)
    • Grunnleggende prinsipper for IT-sikkerhet (Basic principles of IT security)
    • Aktuelle trusler og aktører (Current threats and actors)
    • Ulike angreps- og forsvarsmetoder (Various attack and defense methods)
    • Rammeverk som er relevante innen IT (Relevant frameworks in IT)
    • Risikostyring (Risk management)
    • Relevante lover og regler (Relevant laws and regulations)
  • Ferdigheter (Skills)
    • Holde seg selv kontinuerlig oppdatert på trusselbildet innen IT (Keep oneself continuously updated on the IT threat landscape)
    • Identifisere angrepsmetoder og implementere grunnleggende mottiltak (Identify attack methods and implement basic countermeasures)
    • Utføre risikovurderinger og planlegge tiltak for risikoredusering (Perform risk assessments and plan risk reduction measures)
    • Finne og henvise til lover og regler, samt vurdere relevansen for en yrkesfaglig problemstilling (Find and refer to laws and regulations, and assess their relevance to a professional issue)

• Generell kompetanse (General competence):

  • Delta aktivt i prosjekter (Actively participate in projects)
  • Vurdere om bedriftens IT løsning er i henhold til bedriftens behov og i tråd med lover, regler og etiske krav og retningslinjer (Assess whether the company's IT solution meets the company's needs and complies with laws, regulations, and ethical requirements and guidelines)
  • Utveksle bransjerelaterte synspunkter og informasjon (Exchange industry-related views and information)
  • Vedlikeholde og utvikle sin egen kompetanse innenfor emnet (Maintain and develop one's own competence in the subject)

Given the detailed alignment, SC-200: Security Operations Analyst is highly suitable for your requirements.

Here are some steps and resources to help you prepare for the SC-200: Security Operations Analyst certification:

1. Understand the Exam Objectives:

   • Microsoft Official Exam Page: Review the SC-200 Exam Skills Outline to understand the topics covered in the exam.

2. Learning Paths on Microsoft Learn:

   • Microsoft Learn: Microsoft offers free, self-paced learning paths tailored to the SC-200 exam. Here are some recommended paths:
     • Mitigate threats using Microsoft 365 Defender
     • Mitigate threats using Microsoft Sentinel
     • Mitigate threats using Microsoft Defender for Cloud

3. Books and Study Guides:

   • "Microsoft SC-200 Certification Guide": Look for books specifically written for the SC-200 exam. These books often provide in-depth coverage of each exam objective along with practice questions.

4. Online Courses:

   • Pluralsight: Offers courses on Microsoft security topics.
   • LinkedIn Learning: Provides various courses on Azure and Microsoft security tools.
   • Udemy: Search for SC-200 courses which often come with video lectures and practice exams.

5. Practice Labs:

   • Microsoft Learn Sandbox: Utilize the free sandbox environment provided by Microsoft Learn to practice without needing an Azure subscription.
   • Whizlabs: They offer practice labs and exams for SC-200 which can give you hands-on experience.

6. Practice Exams:

   • MeasureUp: Known for high-quality practice exams that mimic the actual certification exams.
   • Exam Ref SC-200 Microsoft Security Operations Analyst: This book usually includes practice questions and case studies.

7. Join Study Groups and Forums:

   • Tech Community Forums: Engage with other learners and professionals on the Microsoft Tech Community.
   • LinkedIn Groups: Join relevant LinkedIn groups focused on Microsoft certifications.

8. Hands-On Experience:

   • If you are currently working in a related role, try to apply what you learn directly to your job tasks.
   • If not, set up a home lab using free or trial versions of Microsoft tools like Azure Sentinel and Microsoft 365 Defender.

1. Week 1-2: Introduction and Core Concepts

   • Review the exam objectives.
   • Start the learning path on "Mitigate threats using Microsoft 365 Defender."

2. Week 3-4: Deep Dive into Tools

   • Continue with "Mitigate threats using Microsoft Sentinel."
   • Use practice labs to get hands-on experience with Sentinel.

3. Week 5-6: Practical Application

   • Study "Mitigate threats using Microsoft Defender for Cloud."
   • Work through real-world scenarios and case studies provided in study guides.

4. Week 7: Review and Practice Exams

   • Take practice exams to assess your knowledge.
   • Review weak areas and revisit relevant learning paths and resources.

5. Week 8: Final Review and Preparation

   • Join study groups for last-minute tips.
   • Review key concepts and practice scenarios.

By following this structured plan and utilizing these resources, you should be well-prepared to take and pass the SC-200 exam. Good luck with your certification journey!

1. Microsoft Learn: SC-200 Courses and Modules

   • Utforsk spesifikke kurs og læringsstier som dekker SC-200-eksamenens emner.

2. Microsoft Learn: SC-200 for Security Operations Analyst

   • Skreddersydd opplæring for Security Operations Analysts, inkludert praktiske moduler og kurs.

3. Microsoft Learn: SC-200 for Security Engineers

   • Innhold rettet mot sikkerhetsingeniører med fokus på SC-200.

4. SC-200T00: Microsoft Security Operations Analyst Course

   • Offisielt kurs med omfattende pensum dekker alle hovedområder av eksamenen.

5. SC-200 Course Syllabus

   • Detaljert kursplan for å hjelpe med strukturert studering.

6. Microsoft Certification: Security Operations Analyst

   • Informasjon om sertifisering, inkludert øvingsvurderinger og sertifiseringsprosess.

• Strukturert studering: Følg læringsstier og moduler sekvensielt for en systematisk forståelse.
• Praktisk erfaring: Bruk sandkasser og labmiljøer for å anvende teori i praksis.
• Regelmessige vurderinger: Ta øvingsprøver for å identifisere sterke og svake sider.
• Studiegrupper: Diskuter og del kunnskap med andre som forbereder seg til samme eksamen.

Disse ressursene og strategiene vil gi en solid grunnlag for å mestre SC-200-eksamenen.

The SC-200: Microsoft Security Operations Analyst exam focuses on various aspects of security operations, including threat management, monitoring, and response using Microsoft 365 Defender, Microsoft Defender for Cloud, and Microsoft Sentinel.

1. Mitigate threats using Microsoft 365 Defender

   • Investigate and remediate threats using various Defender tools.
   • Manage and respond to alerts and incidents in Microsoft Defender for Endpoint.
   • Investigate timeline and evidence for compromised devices.

2. Mitigate threats using Microsoft Defender for Cloud

   • Understand and utilize Defender for Cloud for protecting resources.
   • Perform security audits and recommendations.
   • Investigate and remediate security risks identified by Defender for Cloud Apps.

3. Mitigate threats using Microsoft Sentinel

   • Configure and manage Microsoft Sentinel.
   • Perform incident management and response in Sentinel.
   • Utilize Kusto Query Language (KQL) for threat hunting.

4. Perform Threat Hunting

   • Use KQL to identify and analyze threats.
   • Customize and use hunting queries and workbooks in Microsoft Sentinel.

5. Configure Security Orchestration, Automation, and Response (SOAR)

   • Create and configure automation rules and playbooks in Microsoft Sentinel.

1. Microsoft Learn

   • Comprehensive modules and learning paths tailored for SC-200 preparation.
   • SC-200: Microsoft Security Operations Analyst Course.

2. Cloud Academy

   • Offers courses specifically designed for SC-200 exam preparation.
   • Practical demonstrations and hands-on labs.
   • Cloud Academy SC-200 Exam Prep.

3. GitHub Repositories

   • Contains lab files and course content to supplement learning.
   • Regular updates and community contributions.
   • SC-200 GitHub Repository.

4. Microsoft Documentation

   • Extensive documentation on configuring and managing Defender and Sentinel.
   • Useful for understanding the practical application of tools.
   • Examples: Kusto Query Language (KQL) Overview, Investigate Incidents in Microsoft Sentinel.

5. Blogs and Community Resources

   • Blogs like Test Prep Training provide detailed guides and tips.
   • Community support forums for discussing and resolving queries.
   • Test Prep Training SC-200 Guide.

6. Practice Tests and Assessments

   • Practice exams available on platforms like Whizlabs.
   • Helps in identifying areas of improvement and familiarizing with the exam format.

Preparing for the SC-200 exam involves a combination of structured learning, hands-on practice, and utilizing various resources. Microsoft Learn, Cloud Academy, GitHub repositories, and extensive Microsoft documentation provide a comprehensive approach to mastering the skills required for the exam. Regularly engaging with practice tests and community forums will further enhance your preparation and readiness for the certification.

For more detailed learning paths and resources, you can explore the Microsoft Learn SC-200 Course.

Her er en tabell som viser relevansen til ulike Pluralsight kurs for den oppdaterte SC-200-eksamenen i 2024, inkludert både tidligere nevnte kurs og noen nylig oppdaterte eller populære kurs.

Kurs som spesifikt adresserer de nyeste emnene og kravene i SC-200-eksamenen har høy relevans, mens kurs som fokuserer på bredere eller andre aspekter av Microsoft Azure, Windows-administrasjon, og meldingssystemer ikke er relevante for SC-200-forberedelse. Dette hjelper deg med å fokusere på de mest relevante ressursene for effektiv eksamensforberedelse.

Her er en tabell som viser relevansen til ulike Pluralsight kurs for den oppdaterte SC-200-eksamenen i 2024 og Blue Team, samt kursets nivå.

Kursene som spesifikt adresserer emner innen SC-200 og Blue Team forsvarsteknikker er svært relevante for effektiv forberedelse. Kursene dekker et bredt spekter av ferdigheter, fra grunnleggende sikkerhetsoperasjoner til avanserte forsvarsteknikker ved bruk av ulike verktøy og teknologier. Dette gir en solid base for både eksamensforberedelse og praktisk anvendelse i sikkerhetsoperasjoner.

To enhance your preparation for the SC-200: Security Operations Analyst exam and improve your skills in Blue Team operations, you can explore the following resources:

1. Microsoft Learn: SC-200 Training Modules

   • SC-200 Course: Comprehensive modules covering all exam topics.
   • SC-200 Training Modules

2. Microsoft Virtual Training Days

   • Free virtual events covering various Microsoft technologies including security operations.
   • Microsoft Virtual Training Days

3. Microsoft Certification Overview

   • Detailed information about the SC-200 certification and other related certifications like AZ-500, SC-100, SC-300, and SC-400.
   • Microsoft Certifications

1. GitHub: SC-200 Repositories
   • Search for SC-200 related repositories for lab exercises, study guides, and community-contributed resources.
   • GitHub SC-200 Search

1. Pluralsight

   • Offers various paths and courses for SC-200 and related certifications.
   • Pluralsight SC-200 Path

2. Cloud Academy

   • Courses and hands-on labs specifically tailored for SC-200 exam preparation.
   • Cloud Academy SC-200

3. Udemy

   • Look for courses specific to SC-200 and other security certifications.
   • Udemy SC-200 Courses

1. Microsoft Learn

   • Free, self-paced learning paths and modules for SC-200 and related topics.
   • Microsoft Learn: SC-200
   • Microsoft Learn: Security Operations Analyst
   • Microsoft Learn: Security Engineer

2. EdX and Coursera

   • Platforms offering free courses with options for paid certificates in various cybersecurity topics.
   • EdX Cybersecurity Courses
   • Coursera Cybersecurity Courses

1. Microsoft Tech Community

   • Engage with the community, ask questions, and share knowledge.
   • Microsoft Tech Community

2. Reddit: r/Azure and r/cybersecurity

   • Active communities discussing various aspects of Azure security and general cybersecurity topics.
   • Reddit r/Azure
   • Reddit r/cybersecurity

3. Blogs and Articles

   • Regularly updated blogs from cybersecurity experts and Microsoft MVPs.
   • Microsoft Security Blog
   • Troy Hunt's Blog

• Microsoft Learn: AZ-500 Learning Path
• Pluralsight: AZ-500 Course

• Microsoft Learn: SC-100 Learning Path
• Pluralsight: SC-100 Course

• Microsoft Learn: SC-300 Learning Path
• Pluralsight: SC-300 Course

• Microsoft Learn: SC-400 Learning Path
• Pluralsight: SC-400 Course

By leveraging these resources, you can thoroughly prepare for the SC-200 exam and enhance your skills in Blue Team operations.

This 3-week intensive learning plan aims to prepare you for both the SC-200: Microsoft Security Operations Analyst certification and the Blue Team Level 1 Junior Security Operations certification. The plan is structured to build foundational knowledge, develop practical skills, and reinforce learning through hands-on labs and practice exams.

Learning Goals:

• Understand basic security principles and concepts.
• Learn about the threat landscape and fundamental attack and defense methods.
• Familiarize with Microsoft 365 Defender and Microsoft Sentinel.

Resources:

1. Microsoft Learn: SC-200 Modules

   • Mitigate threats using Microsoft 365 Defender
   • Mitigate threats using Microsoft Sentinel
   • Mitigate threats using Microsoft Defender for Cloud

2. Pluralsight Courses:

   • Microsoft Security Operations Analyst (SC-200) CERTIFICATION EXAM PREP
   • SC-200: Manage a Security Operations Environment
   • Mitigate Threats Using Microsoft Defender

3. GitHub Repositories for Hands-on Labs:

   • SC-200 Labs

Daily Schedule:

• Day 1-2: Introduction to security principles and the threat landscape.
  • Microsoft Learn Modules: Basic Security Concepts
  • Pluralsight: Overview of SC-200
• Day 3-4: Mitigate threats using Microsoft 365 Defender.
  • Microsoft Learn Modules on Microsoft 365 Defender
  • Hands-on Labs from GitHub
• Day 5-7: Mitigate threats using Microsoft Sentinel.
  • Microsoft Learn Modules on Microsoft Sentinel
  • Hands-on Labs from GitHub

Learning Goals:

• Deep dive into Microsoft Defender for Endpoint, Cloud, and Identity.
• Develop skills in threat detection, investigation, and response.
• Practice using Kusto Query Language (KQL) for threat hunting.

Resources:

1. Microsoft Learn: Advanced Modules

   • Investigate and respond to attacks using Microsoft 365 Defender
   • Investigate and respond to incidents using Microsoft Sentinel

2. Pluralsight Courses:

   • Mitigate Threats Using Microsoft Sentinel
   • Mitigate Threats Using Microsoft 365 Defender

3. Blogs and Community Forums:

   • Microsoft Tech Community
   • Troy Hunt's Blog

Daily Schedule:

• Day 8-10: Investigate and respond to threats using Microsoft Defender for Endpoint.
  • Microsoft Learn: Advanced Defender Modules
  • Pluralsight: Deep Dive into Defender for Endpoint
  • Community Forums: Discussions and Q&A
• Day 11-13: Investigate and respond to incidents using Microsoft Sentinel.
  • Microsoft Learn: Incident Response with Sentinel
  • Pluralsight: Advanced Sentinel Operations
  • Hands-on Labs from GitHub
• Day 14: Mid-term review and practice exam.
  • Practice Exam: MeasureUp or Whizlabs
  • Review and fill knowledge gaps

Learning Goals:

• Integrate and automate security operations using Microsoft tools.
• Perform security orchestration, automation, and response (SOAR).
• Prepare for final exams with comprehensive practice tests and reviews.

Resources:

1. Microsoft Learn: SOAR Modules

   • Configure automation in Microsoft Sentinel

2. Pluralsight Courses:

   • Blue Team Tools: Defense against Adversary Activity Using MITRE Techniques
   • Splunk 9: Introduction to Splunk for Security Detection and Monitoring

3. Additional Hands-on Labs:

   • Microsoft Sentinel Playbooks
   • Kusto Query Language (KQL) for Threat Hunting

Daily Schedule:

• Day 15-16: Configure and manage automation in Microsoft Sentinel.
  • Microsoft Learn: SOAR and Automation Modules
  • Pluralsight: Automation and Playbooks
• Day 17-18: Advanced threat hunting with KQL.
  • Microsoft Learn: KQL for Threat Hunting
  • Hands-on Labs: Writing and executing KQL queries
• Day 19-20: Blue Team tools and techniques.
  • Pluralsight: Blue Team Tools and Splunk
  • Community Blogs and Forums
• Day 21: Final review and practice exams.
  • Full Practice Exam: MeasureUp or Whizlabs
  • Review and focus on weak areas

By following this intensive 3-week learning plan, you will gain the knowledge and practical skills required to pass both the SC-200 and Blue Team Level 1 certifications. Utilize the provided resources, engage with community forums, and consistently review your progress to ensure success.

Key Resources:

• Microsoft Learn: SC-200 Training Modules
• Pluralsight: SC-200 and Blue Team Courses
• GitHub: SC-200 Labs
• Community Forums: Microsoft Tech Community
• Practice Exams: MeasureUp, Whizlabs

Stay focused, practice regularly, and leverage all available resources to achieve your certification goals.

Here are the visual representations of the intensive learning plan for the SC-200 and Blue Team Level 1 Certification:

• Microsoft Learn: SC-200 Training Modules
• Pluralsight: SC-200 and Blue Team Courses
• GitHub: SC-200 Labs
• Community Forums: Microsoft Tech Community
• Practice Exams: MeasureUp, Whizlabs

Week 1:
Day 1-2: Introduction to security principles and threat landscape
Day 3-4: Mitigate threats using Microsoft 365 Defender
Day 5-7: Mitigate threats using Microsoft Sentinel

Week 2:
Day 8-10: Investigate and respond to threats using Microsoft Defender for Endpoint
Day 11-13: Investigate and respond to incidents using Microsoft Sentinel
Day 14: Mid-term review and practice exam

Week 3:
Day 15-16: Configure and manage automation in Microsoft Sentinel
Day 17-18: Advanced threat hunting with KQL
Day 19-20: Blue Team tools and techniques
Day 21: Final review and practice exams

This Gantt chart visually represents the learning plan, making it easier to follow and manage the schedule.

Key Points:

1. Security Principles:

   • Confidentiality, Integrity, Availability (CIA Triad)
   • Least Privilege
   • Defense in Depth
   • Zero Trust Model

2. Threat Landscape:

   • Types of Cyber Threats: Malware, Phishing, Ransomware, etc.
   • Threat Actors: Hackers, Insider Threats, Nation-States
   • Common Attack Vectors: Email, Network, Applications

Summary: Understanding the foundational security principles is crucial for any security operations analyst. These principles guide the implementation of security measures and help in designing a robust defense strategy. The threat landscape is constantly evolving, and analysts need to be aware of various types of threats, threat actors, and common attack vectors to effectively mitigate risks.

Test Yourself:

1. What are the components of the CIA Triad?
2. Explain the concept of "Least Privilege" and its importance in cybersecurity.
3. What is the Zero Trust Model, and how does it differ from traditional security models?
4. Describe three common types of cyber threats and their potential impacts on an organization.

Key Points:

1. Microsoft 365 Defender Overview:

   • Integration with Office 365, Endpoint, Identity, and Cloud Apps
   • Unified Investigation and Response

2. Features:

   • Threat Analytics and Reporting
   • Automated Investigation and Response
   • Advanced Threat Protection

3. Implementation:

   • Setting Up and Configuring Microsoft 365 Defender
   • Best Practices for Monitoring and Incident Response

Summary: Microsoft 365 Defender provides a comprehensive solution for threat detection and response across Microsoft 365 services. It integrates various security tools into a unified platform, enhancing visibility and control over potential threats. Implementing best practices for configuration and incident response is essential to maximize its effectiveness.

Test Yourself:

1. What are the main components of Microsoft 365 Defender?
2. How does Microsoft 365 Defender integrate with other Microsoft security products?
3. Explain the process of automated investigation and response in Microsoft 365 Defender.
4. List and describe at least three best practices for setting up Microsoft 365 Defender.

Key Points:

1. Microsoft Sentinel Overview:

   • Cloud-native Security Information and Event Management (SIEM)
   • Security Orchestration, Automation, and Response (SOAR)

2. Core Features:

   • Data Collection and Integration
   • Threat Detection and Investigation
   • Automated Response and Playbooks

3. Deployment:

   • Configuring Data Connectors
   • Creating and Managing Workbooks
   • Using Built-in and Custom Playbooks for Automation

Summary: Microsoft Sentinel is a powerful cloud-native SIEM and SOAR solution designed to provide intelligent security analytics and threat intelligence across the enterprise. It enables seamless data integration, advanced threat detection, and automated response capabilities. Proper deployment and configuration of Microsoft Sentinel are crucial for effective security monitoring and incident management.

Test Yourself:

1. What is the primary purpose of Microsoft Sentinel?
2. Describe the difference between SIEM and SOAR.
3. How do data connectors in Microsoft Sentinel facilitate threat detection?
4. What are playbooks in Microsoft Sentinel, and how are they used for automated response?

By the end of Week 1, you should have a strong understanding of the foundational security principles, the current threat landscape, and how to use Microsoft 365 Defender and Microsoft Sentinel to mitigate threats. Ensure you complete the hands-on labs and review the test questions to solidify your knowledge.

For additional resources and deeper dives into specific topics, consider exploring:

• Microsoft Security Documentation
• Microsoft Learn Security, Compliance, and Identity Training
• Security Operations Analyst Study Guide

Key Points:

1. Threat Detection:

   • Real-time Threat Detection and Monitoring
   • Behavioral Analysis and Machine Learning
   • Threat Intelligence Integration

2. Incident Investigation:

   • Endpoint Detection and Response (EDR) Capabilities
   • Advanced Hunting with Kusto Query Language (KQL)
   • Automated Investigation and Remediation

3. Best Practices:

   • Configuring and Tuning Alerts
   • Utilizing Threat and Vulnerability Management
   • Effective Use of Secure Score

Summary: Microsoft Defender for Endpoint provides robust capabilities for real-time threat detection and incident response. Through advanced EDR features and machine learning, it enables security analysts to detect, investigate, and remediate threats effectively. Understanding how to leverage tools like advanced hunting with KQL and automated investigation can significantly enhance an organization's security posture.

Test Yourself:

1. What are the key components of real-time threat detection in Microsoft Defender for Endpoint?
2. Describe the role of Kusto Query Language (KQL) in advanced threat hunting.
3. How does automated investigation and remediation work in Defender for Endpoint?
4. List three best practices for configuring alerts in Microsoft Defender for Endpoint.

Key Points:

1. Incident Detection:

   • Custom and Built-in Analytics Rules
   • Scheduled Queries and Real-time Analytics
   • Machine Learning Anomalies

2. Incident Response:

   • Investigation Tools: Entities, Timeline, and Graphs
   • Incident Management and Case Creation
   • Automation with Playbooks

3. Best Practices:

   • Efficient Data Ingestion and Management
   • Creating and Managing Effective Workbooks
   • Leveraging Community Playbooks and Templates

Summary: Microsoft Sentinel provides comprehensive tools for detecting and responding to security incidents. By using custom analytics rules, scheduled queries, and machine learning, Sentinel enhances threat detection capabilities. Effective incident management through detailed investigation tools and automation with playbooks streamlines the response process, ensuring quick and efficient mitigation of threats.

Test Yourself:

1. What are the main features of incident detection in Microsoft Sentinel?
2. How can you use Microsoft Sentinel's investigation tools to analyze a security incident?
3. Describe the process of creating and using playbooks for automated response in Sentinel.
4. What are some best practices for data ingestion in Microsoft Sentinel?

Key Points:

1. Review Core Concepts:

   • Review security principles, threat landscape, and mitigation strategies
   • Revisit key features of Microsoft 365 Defender and Microsoft Sentinel

2. Practice Exam:

   • Take a full-length practice exam from MeasureUp or Whizlabs
   • Identify knowledge gaps and review relevant materials

3. Self-Assessment:

   • Evaluate understanding of topics covered
   • Focus on areas needing improvement

Summary: The mid-term review and practice exam day is designed to consolidate your learning from the past two weeks. Reviewing core concepts and taking a practice exam helps identify areas that need more focus. Utilize this day to ensure a solid understanding of the material and address any gaps before moving on to more advanced topics.

Test Yourself:

1. What are the key differences between Microsoft Defender for Endpoint and Microsoft Sentinel?
2. How do you configure automated responses in both Defender for Endpoint and Sentinel?
3. Describe the steps involved in conducting an incident investigation using Microsoft Sentinel.
4. What are some common challenges faced in threat detection and response, and how can they be mitigated?

By the end of Week 2, you should have a deeper understanding of advanced security operations and practical applications using Microsoft Defender for Endpoint and Microsoft Sentinel. Ensure you complete the practice exam and thoroughly review any areas where you feel less confident.

For additional resources and practice, consider:

• Microsoft Security Blog
• Microsoft Learn: Security, Compliance, and Identity
• Azure Security Center

Key Points:

1. Automation Capabilities:

   • Introduction to Security Orchestration, Automation, and Response (SOAR)
   • Automating Incident Response

2. Playbooks:

   • Creating and Managing Playbooks in Microsoft Sentinel
   • Integrating Playbooks with Microsoft Flow and Logic Apps

3. Best Practices:

   • Efficient Use of Automation to Reduce Response Time
   • Customizing Automation to Meet Specific Organizational Needs

Summary: Configuring and managing automation in Microsoft Sentinel is essential for efficient incident response. Understanding how to create and manage playbooks, and integrate them with Microsoft Flow and Logic Apps, enhances the capabilities of SOAR. Best practices in automation help reduce response times and tailor solutions to organizational requirements.

Test Yourself:

1. What is the role of SOAR in Microsoft Sentinel?
2. How do you create and manage playbooks in Microsoft Sentinel?
3. Describe the process of integrating playbooks with Microsoft Flow and Logic Apps.
4. What are some best practices for implementing automation in Microsoft Sentinel?

Key Points:

1. KQL Basics:

   • Introduction to Kusto Query Language (KQL)
   • Key Syntax and Operators

2. Advanced Queries:

   • Writing Complex Queries for Threat Hunting
   • Using KQL for Data Analysis and Visualization

3. Practical Application:

   • Hands-on Labs for Writing and Executing KQL Queries
   • Real-world Scenarios and Case Studies

Summary: Advanced threat hunting with KQL involves mastering the language's syntax and operators to write complex queries for threat detection. Practical application through hands-on labs and real-world scenarios helps in understanding how to effectively use KQL for data analysis and visualization in Microsoft Sentinel.

Test Yourself:

1. What are the key components of Kusto Query Language (KQL)?
2. How can KQL be used for advanced threat hunting in Microsoft Sentinel?
3. Write a KQL query to detect a specific type of threat and explain its components.
4. Describe a real-world scenario where KQL was used to detect and respond to a threat.

Key Points:

1. Blue Team Overview:

   • Role and Responsibilities of a Blue Team
   • Key Tools and Techniques for Threat Detection and Response

2. Tools:

   • Introduction to Splunk and Its Use in Security Operations
   • Other Blue Team Tools: Wireshark, OSSEC, and More

3. Community and Collaboration:

   • Leveraging Community Blogs and Forums for Knowledge Sharing
   • Participating in Blue Team Challenges and Simulations

Summary: Blue Team tools and techniques are crucial for effective threat detection and response. Understanding the role of the Blue Team, familiarizing with key tools like Splunk, and leveraging community resources enhance the security operations capabilities. Collaboration and continuous learning are vital for staying updated with the latest threats and defense strategies.

Test Yourself:

1. What are the primary responsibilities of a Blue Team in cybersecurity?
2. How is Splunk used in security operations, and what are its key features?
3. List and describe at least three other tools commonly used by Blue Teams.
4. Explain the importance of community collaboration and continuous learning for Blue Teams.

Key Points:

1. Review Core Concepts:

   • Revisit key topics from Weeks 1-3
   • Focus on areas identified as weak during the study sessions

2. Practice Exam:

   • Take a full-length practice exam from MeasureUp or Whizlabs
   • Analyze results and understand incorrect answers

3. Self-Assessment and Preparation:

   • Evaluate overall readiness for the SC-200 exam
   • Create a final study plan focusing on weak areas

Summary: The final review and practice exam day is designed to consolidate all the learning from the past three weeks. Taking a full-length practice exam helps in assessing readiness and identifying areas that need further review. Self-assessment and focused preparation ensure a thorough understanding and confidence going into the SC-200 exam.

Test Yourself:

1. What are the key areas you need to review based on your practice exam results?
2. How do you plan to address the weak areas identified in your self-assessment?
3. Describe your final study plan leading up to the SC-200 exam.
4. What strategies will you use to ensure you retain the information and perform well on the exam?

Key Resources:

• Microsoft Learn: SC-200 Training Modules
• Pluralsight: SC-200 and Blue Team Courses
• GitHub: SC-200 Labs
• Community Forums: Microsoft Tech Community
• Practice Exams: MeasureUp, Whizlabs

Key Points:

1. Security Principles:

   • Confidentiality: Ensuring that information is accessible only to those authorized to have access.
   • Integrity: Safeguarding the accuracy and completeness of information and processing methods.
   • Availability: Ensuring that authorized users have access to information and associated assets when required.
   • Least Privilege: Providing the minimum level of access necessary to perform a job function.
   • Defense in Depth: Implementing multiple layers of security controls and defenses.
   • Zero Trust Model: Assuming that the network is always hostile and verifying each request as though it originates from an open network.

2. Threat Landscape:

   • Types of Cyber Threats: Malware, Phishing, Ransomware, Advanced Persistent Threats (APTs).
   • Threat Actors: Hackers, Insider Threats, Nation-States, Hacktivists.
   • Common Attack Vectors: Email, Network, Web Applications, Social Engineering.

Detailed Learning Resource for Day 1:

Definition: Ensures that sensitive information is accessed only by authorized individuals and entities. Examples:

• Encrypting sensitive data.
• Implementing strong access control mechanisms. Resources:
• Microsoft Learn: Basic Security Concepts

Definition: Maintains the accuracy and completeness of data. Examples:

• Using checksums and hashes.
• Implementing data validation mechanisms. Resources:
• Microsoft Learn: Data Integrity

Definition: Ensures that information and resources are available to authorized users when needed. Examples:

• Implementing redundant systems.
• Using failover mechanisms and disaster recovery plans. Resources:
• Microsoft Learn: Ensuring Availability

Definition: Grants users the minimum levels of access—or permissions—needed to perform their job functions. Examples:

• Regularly reviewing and adjusting access rights.
• Implementing role-based access control (RBAC). Resources:
• Microsoft Learn: Least Privilege Principle

Definition: Uses multiple layers of security controls to protect assets. Examples:

• Implementing firewalls, intrusion detection systems, and endpoint protection.
• Using physical security controls. Resources:
• Microsoft Learn: Defense in Depth

Definition: Assumes that the network is always at risk and requires continuous verification of user, device, and network health. Examples:

• Implementing multi-factor authentication (MFA).
• Continuously monitoring and assessing network security. Resources:
• Microsoft Learn: Zero Trust Model

Examples:

• Malware: Software designed to disrupt, damage, or gain unauthorized access to computer systems. Examples include viruses, worms, and trojans.
• Phishing: Fraudulent attempts to obtain sensitive information by disguising oneself as a trustworthy entity in electronic communication.
• Ransomware: A type of malicious software designed to block access to a computer system until a sum of money is paid. Resources:
• Microsoft Learn: Cyber Threats

Examples:

• Hackers: Individuals or groups who use technology to gain unauthorized access to systems or data.
• Insider Threats: Employees or other trusted individuals who exploit their access to harm the organization.
• Nation-States: Government-sponsored groups that engage in cyber-espionage or cyber-attacks for political gain. Resources:
• Microsoft Learn: Threat Actors

Examples:

• Email: Phishing and spear-phishing attacks.
• Network: Exploiting vulnerabilities in network protocols and configurations.
• Web Applications: SQL injection, cross-site scripting (XSS), and other web-based attacks. Resources:
• Microsoft Learn: Attack Vectors

Summary: Understanding the foundational security principles is crucial for any security operations analyst. These principles guide the implementation of security measures and help in designing a robust defense strategy. The threat landscape is constantly evolving, and analysts need to be aware of various types of threats, threat actors, and common attack vectors to effectively mitigate risks.

Test Yourself:

1. What are the components of the CIA Triad?
   • Answer: Confidentiality, Integrity, Availability.
2. Explain the concept of "Least Privilege" and its importance in cybersecurity.
   • Answer: Least Privilege means providing users only the access necessary to perform their job functions. It reduces the risk of insider threats and limits potential damage from compromised accounts.
3. What is the Zero Trust Model, and how does it differ from traditional security models?
   • Answer: The Zero Trust Model assumes that the network is always hostile and requires continuous verification of user, device, and network health. Unlike traditional models that trust users inside the network, Zero Trust verifies every access request as though it originates from an untrusted network.
4. Describe three common types of cyber threats and their potential impacts on an organization.
   • Answer: Malware (disrupts operations, steals data), Phishing (obtains sensitive information fraudulently), Ransomware (blocks access to systems until a ransom is paid).

• Microsoft Learn: Basic Security Concepts
• Pluralsight: Overview of SC-200
• Cybersecurity and Infrastructure Security Agency (CISA)
• National Institute of Standards and Technology (NIST) Cybersecurity Framework

Key Points:

1. Security Frameworks and Standards:

   • Overview of Common Security Frameworks (NIST, ISO/IEC 27001)
   • Benefits of Adopting Security Standards
   • Implementing Security Controls

2. Cybersecurity Policies and Procedures:

   • Developing Effective Security Policies
   • Incident Response Plans
   • Security Awareness Training

3. Risk Management:

   • Identifying and Assessing Risks
   • Risk Mitigation Strategies
   • Continuous Monitoring and Improvement

Detailed Learning Resource for Day 2:

NIST Cybersecurity Framework:

• Core Functions: Identify, Protect, Detect, Respond, Recover
• Resources: NIST Cybersecurity Framework

ISO/IEC 27001:

• Key Components: Information Security Management System (ISMS), Risk Assessment, Security Controls
• Resources: ISO/IEC 27001 Overview

• Improved Security Posture: Standardized practices enhance overall security.
• Regulatory Compliance: Helps organizations comply with legal and regulatory requirements.
• Risk Management: Provides a structured approach to identifying and mitigating risks.
• Resources: Microsoft Learn: Implementing Security Standards

• Administrative Controls: Policies, procedures, training
• Technical Controls: Firewalls, encryption, access controls
• Physical Controls: Security guards, access badges, surveillance
• Resources: Microsoft Learn: Security Controls

Components of a Security Policy:

• Purpose and Scope
• Roles and Responsibilities
• Compliance Requirements
• Enforcement and Penalties Resources: Microsoft Learn: Creating Security Policies

Steps in Incident Response:

• Preparation
• Identification
• Containment
• Eradication
• Recovery
• Lessons Learned Resources: Microsoft Learn: Incident Response Planning

Key Topics:

• Phishing Awareness
• Safe Internet Practices
• Password Management Resources: Microsoft Learn: Security Awareness Training

Risk Assessment Process:

• Asset Identification
• Threat Identification
• Vulnerability Assessment
• Impact Analysis Resources: Microsoft Learn: Risk Assessment

Common Strategies:

• Avoidance
• Mitigation
• Acceptance
• Transfer Resources: Microsoft Learn: Risk Mitigation

Activities:

• Regular Security Audits
• Vulnerability Scanning
• Penetration Testing
• Incident Reviews Resources: Microsoft Learn: Continuous Monitoring

Summary: Continuing from Day 1, today's focus expands on understanding and implementing security frameworks and standards, developing comprehensive cybersecurity policies and procedures, and effective risk management. These elements form the backbone of a solid security posture, enabling organizations to protect against and respond to a variety of threats.

Test Yourself:

1. What are the core functions of the NIST Cybersecurity Framework?
   • Answer: Identify, Protect, Detect, Respond, Recover.
2. Describe the key components of ISO/IEC 27001.
   • Answer: Information Security Management System (ISMS), Risk Assessment, Security Controls.
3. What are the steps involved in an incident response plan?
   • Answer: Preparation, Identification, Containment, Eradication, Recovery, Lessons Learned.
4. List and explain three common risk mitigation strategies.
   • Answer: Avoidance (eliminating risk), Mitigation (reducing impact), Acceptance (acknowledging and preparing for risk), Transfer (shifting risk to another party, such as insurance).

• NIST Cybersecurity Framework
• ISO/IEC 27001 Overview
• Microsoft Learn: Implementing Security Standards
• Microsoft Learn: Creating Security Policies
• Microsoft Learn: Risk Assessment

Key Points:

1. Overview of Microsoft 365 Defender:

   • Introduction to Microsoft 365 Defender
   • Components and Capabilities

2. Threat Detection and Response:

   • Real-time Threat Detection
   • Automated Investigation and Response

3. Configuring and Managing Microsoft 365 Defender:

   • Initial Setup and Configuration
   • Best Practices for Monitoring and Incident Response

Detailed Learning Resource for Day 3:

Definition: Microsoft 365 Defender is a unified pre- and post-breach enterprise defense suite that natively coordinates detection, prevention, investigation, and response across endpoints, identities, email, and applications to provide integrated protection against sophisticated attacks.

Components:

• Microsoft Defender for Endpoint: Protects endpoints from cyber threats.
• Microsoft Defender for Office 365: Protects against email and collaboration tools threats.
• Microsoft Defender for Identity: Protects hybrid identities.
• Microsoft Defender for Cloud Apps: Protects cloud applications and services.

Resources:

• Microsoft Learn: Introduction to Microsoft 365 Defender

Capabilities:

• Threat and Vulnerability Management: Identifies and remediates vulnerabilities.
• Attack Surface Reduction: Minimizes attack surface areas.
• Next-Generation Protection: Real-time threat protection through AI and machine learning.

Resources:

• Microsoft Learn: Real-time Threat Detection

Process:

• Automated Investigation: Uses AI to investigate alerts.
• Remediation Actions: Automatically applies remediation actions.
• Threat Analytics: Provides insights into threats and vulnerabilities.

Resources:

• Microsoft Learn: Automated Investigation and Response

Steps:

• Onboarding Devices: Adding devices to Microsoft Defender for Endpoint.
• Configuring Policies: Setting up security policies for threat protection.
• Integration: Integrating with other Microsoft security products.

Resources:

• Microsoft Learn: Setting Up Microsoft 365 Defender

Recommendations:

• Regular Monitoring: Continuously monitor for threats and vulnerabilities.
• Incident Response Plan: Develop and test incident response plans.
• Reporting and Analytics: Use dashboards and reports for visibility and insights.

Resources:

• Microsoft Learn: Monitoring and Incident Response

Summary: Microsoft 365 Defender provides a comprehensive suite of tools to detect, investigate, and respond to threats across an organization's infrastructure. Understanding its components, capabilities, and best practices for configuration and management is essential for effective threat mitigation.

Test Yourself:

1. What are the main components of Microsoft 365 Defender?
   • Answer: Microsoft Defender for Endpoint, Microsoft Defender for Office 365, Microsoft Defender for Identity, Microsoft Defender for Cloud Apps.
2. How does Microsoft 365 Defender use real-time threat detection to protect an organization?
   • Answer: Through threat and vulnerability management, attack surface reduction, and next-generation protection using AI and machine learning.
3. Describe the automated investigation and response process in Microsoft 365 Defender.
   • Answer: Uses AI to automatically investigate alerts, apply remediation actions, and provide threat analytics.
4. List and explain three best practices for configuring and managing Microsoft 365 Defender.
   • Answer: Regular monitoring, developing and testing incident response plans, and using reporting and analytics for visibility.

• Microsoft Learn: Introduction to Microsoft 365 Defender
• Microsoft Learn: Real-time Threat Detection
• Microsoft Learn: Automated Investigation and Response
• Microsoft Learn: Setting Up Microsoft 365 Defender
• Microsoft Learn: Monitoring and Incident Response

Key Points:

1. Advanced Features of Microsoft 365 Defender:

   • Threat Analytics and Reporting
   • Integration with Other Security Tools

2. Endpoint Detection and Response (EDR):

   • EDR Capabilities and Benefits
   • Advanced Hunting with Kusto Query Language (KQL)

3. Case Studies and Practical Applications:

   • Real-world Examples of Threat Mitigation
   • Hands-on Lab Exercises

Detailed Learning Resource for Day 4:

Capabilities:

• Threat Intelligence: Provides insights into emerging threats and vulnerabilities.
• Advanced Reporting: Customizable reports on threat activities and security posture.
• Security Recommendations: Actionable recommendations to improve security.

Resources:

• Microsoft Learn: Threat Analytics
• Microsoft Learn: Advanced Reporting

Integration Capabilities:

• Microsoft Sentinel: Integration for enhanced SIEM and SOAR capabilities.
• Third-Party Tools: Compatibility with various security information and event management (SIEM) and security orchestration, automation, and response (SOAR) tools.

Resources:

• Microsoft Learn: Integrating Microsoft 365 Defender
• Microsoft Sentinel Documentation

Features:

• Behavioral Analysis: Monitors and analyzes endpoint activities to detect anomalies.
• Threat Hunting: Proactively searches for threats that evade automated defenses.
• Response Actions: Provides tools to investigate and remediate threats.

Resources:

• Microsoft Learn: EDR Capabilities
• Microsoft Learn: Threat Hunting

Capabilities:

• Query Language: KQL allows for complex queries to analyze data.
• Hunting Queries: Examples and use cases of advanced hunting queries.
• Practical Application: Writing and executing KQL queries for threat hunting.

Resources:

• Microsoft Learn: Kusto Query Language
• KQL Documentation

Examples:

• Ransomware Attack: How Microsoft 365 Defender detects and mitigates ransomware threats.
• Phishing Campaign: Using Defender for Office 365 to identify and block phishing attempts.
• Insider Threat: Leveraging Defender for Identity to detect suspicious activities by insiders.

Resources:

• Microsoft Learn: Case Studies

Exercises:

• Configuring Defender Policies: Setting up threat protection policies in a lab environment.
• Running KQL Queries: Practical exercises on writing and executing advanced hunting queries.
• Incident Response Simulation: Simulating a security incident and using Microsoft 365 Defender to respond.

Resources:

• GitHub: SC-200 Labs

Summary: Building on the basics from Day 3, today's focus delves into the advanced features and capabilities of Microsoft 365 Defender. Understanding threat analytics, integration with other tools, and endpoint detection and response (EDR) is crucial for effective threat mitigation. Practical applications and hands-on labs enhance learning and provide real-world experience.

Test Yourself:

1. What are the key features of threat analytics and reporting in Microsoft 365 Defender?
   • Answer: Threat intelligence, advanced reporting, and security recommendations.
2. How does Microsoft 365 Defender integrate with Microsoft Sentinel?
   • Answer: It enhances SIEM and SOAR capabilities by providing comprehensive threat detection and response integration.
3. Describe the benefits of using EDR capabilities in Microsoft 365 Defender.
   • Answer: Behavioral analysis, threat hunting, and response actions for investigating and mitigating threats.
4. Write a basic KQL query for detecting suspicious login activities.
   • Answer: Sample query: SigninLogs | where ResultType != "0" | summarize count() by UserPrincipalName

• Microsoft Learn: Threat Analytics
• Microsoft Learn: Advanced Reporting
• Microsoft Learn: EDR Capabilities
• Microsoft Learn: Kusto Query Language
• GitHub: SC-200 Labs

Key Points:

1. Introduction to Microsoft Sentinel:

   • Overview of Microsoft Sentinel
   • Core Components and Features

2. Setting Up Microsoft Sentinel:

   • Initial Setup and Configuration
   • Connecting Data Sources

3. Creating and Managing Workbooks:

   • Using Built-in Workbooks
   • Customizing and Creating New Workbooks

Detailed Learning Resource for Day 5:

Definition: Microsoft Sentinel is a scalable, cloud-native solution that provides security information event management (SIEM) and security orchestration automated response (SOAR) capabilities. It helps detect, investigate, and respond to threats across the enterprise.

Core Components:

• Data Connectors: Integrates data from various sources.
• Analytics: Provides tools for threat detection.
• Workbooks: Offers customizable dashboards for data visualization.
• Playbooks: Automates response actions using workflows.

Resources:

• Microsoft Learn: Introduction to Microsoft Sentinel

Steps:

1. Create a Microsoft Sentinel Workspace:
   • Navigate to Azure Portal.
   • Create a Log Analytics workspace.
   • Add Microsoft Sentinel to the workspace.
2. Configure Settings:
   • Enable data collection.
   • Set retention policies.
   • Configure permissions and access control.

Resources:

• Microsoft Learn: Setting Up Microsoft Sentinel

Types of Data Sources:

• Azure Services: Azure Activity, Azure AD, Azure Security Center.
• Microsoft Solutions: Microsoft 365 Defender, Microsoft Defender for Identity.
• Third-Party Solutions: Firewalls, proxies, partner solutions.

Steps:

1. Select Data Connectors:
   • Navigate to Data Connectors page.
   • Choose connectors based on the data source.
2. Configure Data Collection:
   • Follow configuration steps for each connector.
   • Validate and ensure data is flowing into Sentinel.

Resources:

• Microsoft Learn: Connecting Data Sources

Capabilities:

• Pre-built Dashboards: Ready-to-use dashboards for common scenarios.
• Custom Views: Tailored views based on specific needs.

Steps:

1. Access Workbooks:
   • Navigate to Workbooks page in Microsoft Sentinel.
   • Explore available templates.
2. Customize Views:
   • Edit workbook settings.
   • Adjust filters, visualizations, and layout.

Resources:

• Microsoft Learn: Using Built-in Workbooks

Capabilities:

• Custom Dashboards: Create unique dashboards to meet organizational needs.
• Interactive Visualizations: Add charts, graphs, and tables.

Steps:

1. Create a New Workbook:
   • Navigate to Workbooks page.
   • Select "Create" and choose "Blank Workbook."
2. Add Queries and Visuals:
   • Use KQL to query data.
   • Add visual elements such as charts and graphs.
3. Save and Share:
   • Save the workbook.
   • Share with relevant stakeholders.

Resources:

• Microsoft Learn: Creating Custom Workbooks

Summary: Today’s focus is on understanding Microsoft Sentinel, from its core components to setting up and configuring the environment. Learning to connect various data sources and leveraging built-in and custom workbooks is essential for effective threat detection and incident response.

Test Yourself:

1. What are the core components of Microsoft Sentinel?
   • Answer: Data Connectors, Analytics, Workbooks, Playbooks.
2. Describe the steps to set up a Microsoft Sentinel workspace.
   • Answer: Create a Log Analytics workspace, add Microsoft Sentinel to the workspace, configure settings (data collection, retention policies, permissions).
3. How do you connect data sources to Microsoft Sentinel?
   • Answer: Navigate to Data Connectors, choose connectors based on the data source, configure data collection for each connector, validate data flow.
4. What are the benefits of using built-in workbooks in Microsoft Sentinel?
   • Answer: Provides ready-to-use dashboards for common scenarios, allows customization of views based on specific needs.

• Microsoft Learn: Introduction to Microsoft Sentinel
• Microsoft Learn: Setting Up Microsoft Sentinel
• Microsoft Learn: Connecting Data Sources
• Microsoft Learn: Using Built-in Workbooks
• Microsoft Learn: Creating Custom Workbooks

Key Points:

1. Threat Detection with Microsoft Sentinel:

   • Creating and Managing Analytics Rules
   • Utilizing Machine Learning for Threat Detection

2. Investigation and Response:

   • Investigating Incidents in Microsoft Sentinel
   • Responding to Incidents with Playbooks

3. Hands-on Labs:

   • Practical Exercises on Creating Analytics Rules
   • Simulating Incident Investigation and Response

Detailed Learning Resource for Day 6:

Definition: Analytics rules in Microsoft Sentinel are used to identify and respond to threats. These rules define the criteria that generate incidents.

Types of Rules:

• Scheduled Rules: Run at regular intervals to detect threats.
• Fusion Rules: Use machine learning to identify multistage attacks.
• Microsoft-provided Templates: Predefined rules that can be customized.

Steps to Create Analytics Rules:

1. Navigate to Analytics: In the Microsoft Sentinel workspace, go to the Analytics section.
2. Create New Rule: Select "Create" and choose the type of rule (scheduled, fusion).
3. Define Rule Logic: Specify the query or criteria that triggers the rule.
4. Set Alerts: Configure alert thresholds and actions.
5. Save and Activate: Save the rule and activate it to start detecting threats.

Resources:

• Microsoft Learn: Creating Analytics Rules

Capabilities:

• Anomaly Detection: Identifies unusual patterns in data.
• Behavioral Analytics: Learns and profiles typical user behavior to detect deviations.
• Fusion: Correlates alerts and low-fidelity signals to identify multistage attacks.

Resources:

• Microsoft Learn: Machine Learning in Sentinel

Process:

1. View Incidents: Navigate to the Incidents page to view all detected incidents.
2. Incident Details: Click on an incident to view detailed information.
3. Investigate Entities: Examine related entities such as users, devices, and IP addresses.
4. Timeline and Graphs: Use the timeline and graphical representation to understand the incident flow.

Resources:

• Microsoft Learn: Investigating Incidents

Definition: Playbooks in Microsoft Sentinel are automated workflows designed to respond to threats.

Creating Playbooks:

1. Navigate to Automation: In the Microsoft Sentinel workspace, go to the Automation section.
2. Create New Playbook: Select "Create" and follow the steps to build a new playbook.
3. Define Actions: Specify the automated actions that the playbook will perform (e.g., isolate a device, block an IP).
4. Test and Activate: Test the playbook to ensure it works as expected, then activate it.

Resources:

• Microsoft Learn: Creating Playbooks

Exercise:

1. Scenario: Detect failed login attempts.
2. Steps:
   • Navigate to the Analytics section.
   • Create a scheduled rule with a query to detect failed logins.
   • Configure alert thresholds and actions.
   • Save and activate the rule.

Resources:

• GitHub: Sentinel Analytics Labs

Exercise:

1. Scenario: Investigate a suspicious login incident.
2. Steps:
   • Navigate to the Incidents page.
   • Select the suspicious login incident.
   • Investigate related entities and use the timeline for context.
   • Create a playbook to automatically respond to similar incidents in the future.

Resources:

• GitHub: Sentinel Playbooks Labs

Summary: Today's focus is on enhancing threat detection and response capabilities using Microsoft Sentinel. By creating and managing analytics rules, utilizing machine learning, and investigating and responding to incidents, you will gain practical experience in mitigating threats. Hands-on labs reinforce these concepts through practical application.

Test Yourself:

1. What are the different types of analytics rules available in Microsoft Sentinel?
   • Answer: Scheduled rules, fusion rules, Microsoft-provided templates.
2. How does machine learning enhance threat detection in Microsoft Sentinel?
   • Answer: Through anomaly detection, behavioral analytics, and fusion to identify multistage attacks.
3. Describe the process of investigating an incident in Microsoft Sentinel.
   • Answer: View incidents, examine incident details, investigate related entities, and use timeline and graphs to understand the incident flow.
4. What is a playbook in Microsoft Sentinel, and how is it used to respond to incidents?
   • Answer: A playbook is an automated workflow designed to respond to threats by performing predefined actions. It is used to streamline and automate the incident response process.

• Microsoft Learn: Creating Analytics Rules
• Microsoft Learn: Machine Learning in Sentinel
• Microsoft Learn: Investigating Incidents
• Microsoft Learn: Creating Playbooks
• GitHub: Sentinel Analytics Labs
• GitHub: Sentinel Playbooks Labs

Key Points:

1. Creating and Managing Detection Rules:

   • Types of Detection Rules
   • Building Custom Detection Rules

2. Utilizing Microsoft Sentinel for Compliance:

   • Compliance Monitoring and Reporting
   • Creating Compliance Workbooks

3. Advanced Use Cases and Best Practices:

   • Leveraging Threat Intelligence
   • Continuous Improvement and Tuning

Detailed Learning Resource for Day 7:

Overview:

• Scheduled Analytics Rules: These rules run at regular intervals and generate alerts based on specific criteria.
• Fusion Analytics Rules: These rules use machine learning to correlate alerts and identify sophisticated, multi-stage attacks.
• UEBA (User and Entity Behavior Analytics) Rules: These rules detect anomalies in user and entity behavior by comparing current activities against historical patterns.

Resources:

• Microsoft Learn: Types of Detection Rules

Steps:

1. Navigate to Analytics:
   • Go to the Analytics section in Microsoft Sentinel.
2. Create New Rule:
   • Click on "Create" and select the type of rule (scheduled, fusion, UEBA).
3. Define Rule Logic:
   • Write the Kusto Query Language (KQL) query to specify the criteria for the rule.
4. Configure Alerts:
   • Set alert thresholds, severity, and actions to be taken when the rule is triggered.
5. Save and Activate:
   • Save the rule and activate it to start monitoring for threats.

Example KQL Query:

SecurityEvent
| where EventID == 4625
| where AccountType == "User"
| summarize count() by IPAddress
| where count_ > 5

Resources:

• Microsoft Learn: Building Custom Detection Rules

Capabilities:

• Automated Compliance Monitoring: Continuously monitors compliance with regulatory requirements.
• Audit Logs: Provides detailed logs of all activities for auditing purposes.
• Compliance Alerts: Generates alerts for compliance violations.

Resources:

• Microsoft Learn: Compliance Monitoring

Steps:

1. Navigate to Workbooks:
   • Go to the Workbooks section in Microsoft Sentinel.
2. Create New Workbook:
   • Click on "Create" and choose a compliance workbook template or start from scratch.
3. Add Queries and Visuals:
   • Use KQL to query compliance-related data and add visual elements like charts and tables.
4. Customize Layout:
   • Arrange the visual elements to create a clear and informative dashboard.
5. Save and Share:
   • Save the workbook and share it with stakeholders.

Resources:

• Microsoft Learn: Creating Compliance Workbooks

Capabilities:

• Threat Intelligence Integration: Integrates with various threat intelligence feeds to enhance detection capabilities.
• TI Mapping: Maps threat indicators to relevant data in Microsoft Sentinel.
• Alert Enrichment: Uses threat intelligence to enrich alerts with additional context.

Resources:

• Microsoft Learn: Leveraging Threat Intelligence

Best Practices:

• Regularly Review and Update Rules: Continuously improve detection rules based on new threats and changing environments.
• Performance Tuning: Optimize queries and rules for better performance and lower resource consumption.
• Feedback Loop: Use insights from incidents and investigations to refine detection and response strategies.

Resources:

• Microsoft Learn: Continuous Improvement and Tuning

Summary: Today’s focus is on enhancing the detection and compliance capabilities of Microsoft Sentinel. By creating and managing various detection rules, leveraging compliance workbooks, and implementing best practices, you will strengthen your organization's security posture and ensure regulatory compliance. Advanced use cases and continuous improvement techniques further enhance the effectiveness of Microsoft Sentinel.

Test Yourself:

1. What are the different types of detection rules available in Microsoft Sentinel?
   • Answer: Scheduled analytics rules, fusion analytics rules, and UEBA (User and Entity Behavior Analytics) rules.
2. Describe the process of building a custom detection rule in Microsoft Sentinel.
   • Answer: Navigate to Analytics, create a new rule, define rule logic with KQL, configure alerts, save, and activate the rule.
3. How can Microsoft Sentinel be used for compliance monitoring and reporting?
   • Answer: Through automated compliance monitoring, audit logs, and compliance alerts, and by creating compliance workbooks.
4. What are some best practices for continuous improvement and tuning in Microsoft Sentinel?
   • Answer: Regularly review and update rules, optimize queries and rules for performance, and use a feedback loop to refine strategies.

• Microsoft Learn: Types of Detection Rules
• Microsoft Learn: Building Custom Detection Rules
• Microsoft Learn: Compliance Monitoring
• Microsoft Learn: Creating Compliance Workbooks
• Microsoft Learn: Leveraging Threat Intelligence
• Microsoft Learn: Continuous Improvement and Tuning

Key Points:

1. Introduction to Microsoft Defender for Endpoint:

   • Overview and Capabilities
   • Key Components and Architecture

2. Endpoint Detection and Response (EDR):

   • Real-time Threat Detection and Monitoring
   • Advanced Hunting with Kusto Query Language (KQL)

3. Automated Investigation and Response:

   • Automated Investigation Process
   • Response Actions and Remediation

Detailed Learning Resource for Day 8:

Definition: Microsoft Defender for Endpoint is an enterprise endpoint security platform designed to help enterprise networks prevent, detect, investigate, and respond to advanced threats.

Capabilities:

• Threat and Vulnerability Management: Identifies, assesses, and remediates endpoint vulnerabilities.
• Attack Surface Reduction: Reduces the attack surface through various measures such as network protection and exploit prevention.
• Next-Generation Protection: Real-time protection against known and unknown threats using AI and machine learning.
• Endpoint Detection and Response (EDR): Provides tools to detect, investigate, and respond to advanced threats.
• Automated Investigation and Remediation: Automates the investigation and remediation of threats to reduce the workload on security teams.

Resources:

• Microsoft Learn: Introduction to Microsoft Defender for Endpoint

Features:

• Behavioral Analysis: Detects threats based on abnormal behavior.
• Threat Intelligence: Utilizes threat intelligence to identify known threats.
• Alerting: Provides real-time alerts on detected threats.

Resources:

• Microsoft Learn: EDR in Microsoft Defender for Endpoint

Capabilities:

• Query Language: KQL allows for complex queries to analyze endpoint data.
• Hunting Queries: Examples and use cases of advanced hunting queries.
• Practical Application: Writing and executing KQL queries for threat hunting.

Example KQL Query:

DeviceEvents
| where Timestamp > ago(1d)
| where ActionType == "LogonFailed"
| summarize count() by DeviceName, InitiatingProcessAccountName
| where count_ > 5

Resources:

• Microsoft Learn: Advanced Hunting with KQL

Process:

• Trigger: Automated investigations are triggered by alerts.
• Analysis: Uses AI to analyze the threat and determine its scope.
• Investigation Graph: Visual representation of the investigation showing related entities and actions.

Resources:

• Microsoft Learn: Automated Investigation and Response

Actions:

• Isolation: Isolates the infected device from the network to prevent spread.
• Quarantine: Removes malicious files.
• Remediation: Automatically applies remediation actions such as registry edits and service removals.

Resources:

• Microsoft Learn: Response Actions in Defender for Endpoint

Exercise:

1. Scenario: Detect and respond to a failed login attempt.
2. Steps:
   • Use KQL to write a query that detects failed login attempts.
   • Configure an automated investigation triggered by the alert.
   • Simulate an incident and observe the automated response actions.

Resources:

• GitHub: Defender for Endpoint Labs

Summary: Today's focus is on using Microsoft Defender for Endpoint to investigate and respond to threats. By understanding its capabilities, leveraging advanced hunting with KQL, and utilizing automated investigation and response, you will enhance your ability to detect and mitigate endpoint threats effectively. Hands-on labs reinforce these concepts through practical application.

Test Yourself:

1. What are the key capabilities of Microsoft Defender for Endpoint?
   • Answer: Threat and vulnerability management, attack surface reduction, next-generation protection, endpoint detection and response (EDR), automated investigation and remediation.
2. How does real-time threat detection and monitoring work in Microsoft Defender for Endpoint?
   • Answer: Through behavioral analysis, threat intelligence, and real-time alerts.
3. Write a KQL query to detect multiple failed login attempts within a day.
   • Answer:

DeviceEvents
| where Timestamp > ago(1d)
| where ActionType == "LogonFailed"
| summarize count() by DeviceName, InitiatingProcessAccountName
| where count_ > 5

4. Describe the process of automated investigation and response in Microsoft Defender for Endpoint.
   • Answer: Triggered by alerts, uses AI to analyze the threat, visualizes the investigation graph, and applies remediation actions like isolation, quarantine, and registry edits.

• Microsoft Learn: Introduction to Microsoft Defender for Endpoint
• Microsoft Learn: EDR in Microsoft Defender for Endpoint
• Microsoft Learn: Advanced Hunting with KQL
• Microsoft Learn: Automated Investigation and Response
• GitHub: Defender for Endpoint Labs

Key Points:

1. Threat Analytics and Incident Investigation:

   • Utilizing Threat Analytics
   • Investigating Incidents with Advanced Tools

2. Threat and Vulnerability Management:

   • Identifying and Assessing Vulnerabilities
   • Remediation Strategies and Best Practices

3. Hands-on Labs:

   • Practical Exercises on Threat Analytics
   • Simulating Incident Investigation and Response

Detailed Learning Resource for Day 9:

Definition: Threat Analytics in Microsoft Defender for Endpoint provides actionable insights and comprehensive reports on detected threats.

Capabilities:

• Threat Intelligence Integration: Combines global threat intelligence to provide context and insights.
• Threat Analytics Reports: Detailed reports on current threats, their impact, and remediation steps.
• Prioritization: Helps prioritize threats based on their severity and potential impact.

Steps:

1. Navigate to Threat Analytics:
   • Access the Microsoft Defender for Endpoint portal.
   • Go to the Threat Analytics section.
2. View Reports:
   • Review the detailed threat reports and analytics.
   • Understand the context and severity of threats.
3. Take Action:
   • Follow the recommended steps for mitigation and remediation.

Resources:

• Microsoft Learn: Threat Analytics

Tools:

• Investigation Graphs: Visualize the relationships between entities involved in an incident.
• Response Actions: Take actions directly from the investigation dashboard.
• Deep Link Investigation: Dive deeper into specific entities to gather more information.

Steps:

1. Access Incident Details:
   • Go to the Incidents page in the Defender for Endpoint portal.
   • Select an incident to investigate.
2. Use Investigation Graphs:
   • Visualize the incident to understand the scope and impact.
3. Take Response Actions:
   • Isolate devices, quarantine files, and block malicious IPs.

Resources:

• Microsoft Learn: Incident Investigation

Process:

• Vulnerability Scanning: Regularly scan endpoints for vulnerabilities.
• Risk Assessment: Evaluate the potential impact and exploitability of identified vulnerabilities.
• Prioritization: Prioritize vulnerabilities based on severity and risk.

Tools:

• Vulnerability Assessment Dashboard: Provides an overview of identified vulnerabilities.
• Threat and Vulnerability Management (TVM): A dedicated module within Defender for Endpoint.

Steps:

1. Access TVM Dashboard:
   • Go to the Threat and Vulnerability Management section in the portal.
2. Review Findings:
   • Analyze the identified vulnerabilities and their details.
3. Assess Risk:
   • Evaluate the risk associated with each vulnerability.
4. Prioritize and Remediate:
   • Focus on high-risk vulnerabilities first and follow remediation guidelines.

Resources:

• Microsoft Learn: Threat and Vulnerability Management

Strategies:

• Patch Management: Regularly update and patch systems to fix vulnerabilities.
• Configuration Management: Ensure systems are securely configured.
• User Training: Educate users on safe practices to avoid introducing vulnerabilities.

Best Practices:

• Regular Scanning: Conduct regular vulnerability scans to identify new threats.
• Automated Remediation: Use automation to quickly remediate known issues.
• Continuous Monitoring: Continuously monitor systems for signs of exploitation.

Resources:

• Microsoft Learn: Remediation Strategies

Exercise:

1. Scenario: Analyze and respond to a simulated phishing attack.
2. Steps:
   • Access the Threat Analytics section.
   • Review the threat report related to the phishing attack.
   • Follow recommended steps to mitigate the threat.

Resources:

• GitHub: Defender for Endpoint Labs

Exercise:

1. Scenario: Investigate and respond to a simulated ransomware attack.
2. Steps:
   • Access the Incidents page and select the ransomware incident.
   • Use investigation graphs to understand the scope.
   • Take response actions such as isolating affected devices and blocking malicious IPs.

Resources:

• GitHub: Defender for Endpoint Labs

Summary: Today's focus is on leveraging Microsoft Defender for Endpoint's advanced features for threat analytics, incident investigation, and threat and vulnerability management. Practical exercises and hands-on labs enhance your understanding and provide real-world experience in mitigating threats and managing vulnerabilities.

Test Yourself:

1. What are the key capabilities of Threat Analytics in Microsoft Defender for Endpoint?
   • Answer: Threat intelligence integration, detailed threat analytics reports, and threat prioritization.
2. How do you investigate incidents using advanced tools in Microsoft Defender for Endpoint?
   • Answer: By accessing incident details, using investigation graphs to visualize relationships, and taking response actions from the investigation dashboard.
3. Describe the process of identifying and assessing vulnerabilities using TVM in Microsoft Defender for Endpoint.
   • Answer: Conduct vulnerability scanning, perform risk assessment, prioritize vulnerabilities based on severity, and use the TVM dashboard to review findings.
4. What are some best practices for remediation strategies in threat and vulnerability management?
   • Answer: Regular scanning, automated remediation, continuous monitoring, patch management, configuration management, and user training.

• Microsoft Learn: Threat Analytics
• Microsoft Learn: Incident Investigation
• Microsoft Learn: Threat and Vulnerability Management
• Microsoft Learn: Remediation Strategies
• GitHub: Defender for Endpoint Labs

Key Points:

1. Incident Management in Microsoft Sentinel:

   • Overview of Incident Management
   • Incident Lifecycle

2. Investigating Incidents:

   • Using Investigation Graphs
   • Deep Dive into Incident Details

3. Automating Response Actions:

   • Creating and Using Playbooks
   • Best Practices for Automation

Detailed Learning Resource for Day 10:

Definition: Incident management in Microsoft Sentinel involves detecting, investigating, and responding to security incidents using various tools and techniques provided by the platform.

Components:

• Incident Dashboard: Centralized view of all detected incidents.
• Incident Alerts: Notifications triggered by detection rules.
• Incident Details: Comprehensive information about each incident, including related entities and actions taken.

Resources:

• Microsoft Learn: Incident Management in Sentinel

Stages:

1. Detection: Incidents are detected based on analytics rules and alerts.
2. Investigation: Detailed examination of the incident to understand its scope and impact.
3. Response: Taking appropriate actions to mitigate the incident.
4. Closure: Finalizing the incident after successful mitigation and documenting lessons learned.

Resources:

• Microsoft Learn: Incident Lifecycle

Definition: Investigation graphs provide a visual representation of the relationships between entities involved in an incident.

Capabilities:

• Entity Mapping: Visualizes users, devices, IP addresses, and other entities.
• Timeline View: Shows the sequence of events leading up to and following the incident.
• Interactive Exploration: Allows analysts to interact with the graph to explore and understand the incident better.

Steps:

1. Access Investigation Graph:
   • Navigate to the Incidents page in Microsoft Sentinel.
   • Select an incident to investigate.
2. Explore Entities:
   • Examine the relationships between entities.
   • Use the timeline view to understand the sequence of events.
3. Take Action:
   • Use the interactive features to drill down into specific details and take response actions.

Resources:

• Microsoft Learn: Using Investigation Graphs

Steps:

1. View Incident Details:
   • Access detailed information about the incident, including alert details, related entities, and evidence collected.
2. Analyze Alerts:
   • Review the alerts that triggered the incident.
   • Understand the context and cause of the alerts.
3. Investigate Entities:
   • Dive deeper into the entities involved to gather more information.
   • Use built-in tools to analyze user activities, network traffic, and other relevant data.

Resources:

• Microsoft Learn: Incident Details Analysis

Definition: Playbooks are automated workflows designed to respond to incidents by performing predefined actions.

Capabilities:

• Automated Responses: Automatically take actions such as isolating devices, blocking IPs, and notifying stakeholders.
• Integration: Integrates with Microsoft Flow and Logic Apps for advanced automation.
• Custom Workflows: Create custom workflows to address specific incident response needs.

Steps:

1. Create a Playbook:
   • Navigate to the Automation section in Microsoft Sentinel.
   • Select "Create" and choose a template or start from scratch.
2. Define Actions:
   • Specify the actions to be taken when the playbook is triggered.
   • Use conditions and loops for more complex workflows.
3. Activate and Test:
   • Save and activate the playbook.
   • Test the playbook to ensure it works as expected.

Resources:

• Microsoft Learn: Creating Playbooks

Recommendations:

• Start Simple: Begin with simple playbooks and gradually add complexity.
• Regular Testing: Test playbooks regularly to ensure they function correctly.
• Monitor and Update: Continuously monitor the effectiveness of playbooks and update them as needed.
• Documentation: Document playbook workflows and actions for future reference.

Resources:

• Microsoft Learn: Automation Best Practices

Exercise:

1. Scenario: Investigate and respond to a simulated malware outbreak.
2. Steps:
   • Access the Incidents page and select the malware incident.
   • Use investigation graphs to visualize the incident.
   • Take response actions such as isolating affected devices and blocking malicious IPs.

Resources:

• GitHub: Sentinel Incident Management Labs

Exercise:

1. Scenario: Create and test a playbook for automated response to phishing attacks.
2. Steps:
   • Create a playbook that triggers on phishing alerts.
   • Define actions to block the sender's IP and notify the security team.
   • Test the playbook to ensure it works as intended.

Resources:

• GitHub: Sentinel Automation Labs

Summary: Today's focus is on effectively managing incidents in Microsoft Sentinel. By understanding the incident lifecycle, leveraging investigation graphs, and automating response actions with playbooks, you will enhance your ability to detect, investigate, and respond to security incidents efficiently. Hands-on labs provide practical experience in these critical areas.

Test Yourself:

1. What are the key stages in the incident lifecycle in Microsoft Sentinel?
   • Answer: Detection, investigation, response, closure.
2. How can investigation graphs help in understanding security incidents?
   • Answer: They provide a visual representation of the relationships between entities involved in an incident, allowing for interactive exploration and analysis.
3. Describe the process of creating a playbook in Microsoft Sentinel.
   • Answer: Navigate to the Automation section, create a new playbook, define the actions, save and activate the playbook, and test to ensure functionality.
4. What are some best practices for automating response actions in Microsoft Sentinel?
   • Answer: Start simple, test regularly, monitor and update playbooks, and document workflows and actions.

• Microsoft Learn: Incident Management in Sentinel
• Microsoft Learn: Using Investigation Graphs
• Microsoft Learn: Creating Playbooks
• Microsoft Learn: Automation Best Practices
• GitHub: Sentinel Incident Management Labs
• GitHub: Sentinel Automation Labs

Key Points:

1. Advanced Incident Response:

   • Customizing Incident Response Playbooks
   • Incident Response Best Practices

2. Security Orchestration, Automation, and Response (SOAR):

   • Overview of SOAR in Microsoft Sentinel
   • Implementing SOAR Strategies

3. Hands-on Labs:

   • Creating Advanced Playbooks
   • Simulating Complex Incident Response Scenarios

Detailed Learning Resource for Day 11:

Definition: Custom playbooks in Microsoft Sentinel allow security teams to automate complex response workflows tailored to specific incident types.

Steps to Customize Playbooks:

1. Identify Incident Scenarios: Determine the types of incidents that require customized playbooks.
2. Define Workflow Steps: Outline the steps required to respond to each type of incident.
3. Create and Configure Playbooks:
   • Navigate to the Automation section in Sentinel.
   • Select "Create" and choose to start from scratch or use a template.
   • Define triggers, conditions, and actions based on the workflow steps.
4. Test and Refine: Ensure the playbook works as expected and refine it as necessary.

Resources:

• Microsoft Learn: Customizing Playbooks

Recommendations:

• Regular Review and Updates: Continuously review and update playbooks to reflect new threats and changes in the environment.
• Stakeholder Communication: Ensure all stakeholders are informed and trained on incident response procedures.
• Documentation: Maintain thorough documentation of playbook workflows and incident response actions.

Resources:

• Microsoft Learn: Incident Response Best Practices

Definition: SOAR combines security orchestration, automation, and response capabilities to streamline and enhance incident response processes.

Components:

• Orchestration: Integrates various security tools and processes to work together seamlessly.
• Automation: Automates repetitive tasks to improve efficiency and reduce response times.
• Response: Provides tools and workflows to manage and respond to security incidents effectively.

Resources:

• Microsoft Learn: Introduction to SOAR

Steps:

1. Assess Current Processes: Evaluate existing incident response processes and identify areas for improvement.
2. Define Automation Opportunities: Identify tasks that can be automated to improve efficiency.
3. Develop and Implement Playbooks:
   • Create playbooks for automating routine tasks and integrating various tools.
   • Test playbooks to ensure they function correctly.
4. Monitor and Optimize: Continuously monitor the performance of SOAR strategies and optimize them as needed.

Resources:

• Microsoft Learn: Implementing SOAR

Exercise:

1. Scenario: Create a playbook for automated response to a data exfiltration incident.
2. Steps:
   • Define the incident type and response workflow.
   • Create a new playbook in Sentinel.
   • Configure triggers, conditions, and actions (e.g., isolate the device, block IP, notify stakeholders).
   • Test the playbook to ensure it works as expected.

Resources:

• GitHub: Sentinel Advanced Playbooks Labs

Exercise:

1. Scenario: Simulate a multi-stage attack and use SOAR capabilities to respond.
2. Steps:
   • Create multiple incidents to simulate a multi-stage attack.
   • Use investigation graphs to understand the scope and sequence of the attack.
   • Develop and implement playbooks to automate the response to each stage of the attack.
   • Review and document the effectiveness of the response.

Resources:

• GitHub: Sentinel SOAR Labs

Summary: Today's focus is on enhancing your incident response capabilities using advanced playbooks and SOAR strategies in Microsoft Sentinel. By customizing playbooks, implementing SOAR, and engaging in hands-on labs, you will be better equipped to handle complex incidents efficiently and effectively.

Test Yourself:

1. What are the key steps in customizing incident response playbooks in Microsoft Sentinel?
   • Answer: Identify incident scenarios, define workflow steps, create and configure playbooks, test and refine.
2. How does SOAR enhance incident response in Microsoft Sentinel?
   • Answer: SOAR combines orchestration, automation, and response to streamline processes, automate repetitive tasks, and provide effective tools and workflows for managing incidents.
3. Describe a scenario where customizing a playbook would be necessary.
   • Answer: Customizing a playbook is necessary for handling specific incident types such as data exfiltration, where the response requires isolating the device, blocking IPs, and notifying stakeholders.
4. What are some best practices for maintaining and optimizing incident response playbooks?
   • Answer: Regularly review and update playbooks, ensure stakeholder communication, and maintain thorough documentation of workflows and actions.

• Microsoft Learn: Customizing Playbooks
• Microsoft Learn: Incident Response Best Practices
• Microsoft Learn: Introduction to SOAR
• Microsoft Learn: Implementing SOAR
• GitHub: Sentinel Advanced Playbooks Labs
• GitHub: Sentinel SOAR Labs

Key Points:

1. Introduction to Kusto Query Language (KQL):

   • Overview and Syntax
   • Basic Query Structure

2. Advanced KQL Queries:

   • Aggregation Functions
   • Joins and Unions

3. Practical Applications:

   • Writing Queries for Threat Hunting
   • Hands-on Lab Exercises

Detailed Learning Resource for Day 12:

Definition: Kusto Query Language (KQL) is a powerful query language used to explore and analyze large datasets in Microsoft Sentinel.

Basic Syntax:

• Commands: The fundamental operations (e.g., search, project, where).
• Operators: Used to refine and manipulate data (e.g., ==, !=, contains, and, or).
• Functions: Built-in functions to perform calculations and data transformations (e.g., summarize, count, avg).

Resources:

• Microsoft Learn: Introduction to KQL

Structure:

1. Table Selection: Specify the table to query (e.g., SecurityEvent).
2. Filtering: Apply conditions to filter data (e.g., where TimeGenerated > ago(1d)).
3. Projection: Select specific columns (e.g., project TimeGenerated, Computer, EventID).
4. Aggregation: Summarize data using functions (e.g., summarize count() by Computer).

Example Query:

SecurityEvent
| where TimeGenerated > ago(1d)
| project TimeGenerated, Computer, EventID
| summarize count() by Computer

Resources:

• Microsoft Learn: KQL Basics

Definition: Aggregation functions in KQL are used to summarize data, providing insights and patterns.

Common Functions:

• summarize: Aggregates data by specified columns (e.g., summarize count() by Computer).
• avg: Calculates the average value of a numeric column (e.g., summarize avg(Duration)).
• max/min: Finds the maximum or minimum value in a column (e.g., summarize max(Total)).

Example Query:

SecurityEvent
| where TimeGenerated > ago(7d)
| summarize avg(Duration) by Computer

Resources:

• Microsoft Learn: KQL Aggregation Functions

Joins:

• Definition: Combine rows from two or more tables based on a related column.
• Types: Inner join, outer join, left join, right join.
• Syntax:

Table1
| join kind=inner (Table2) on CommonColumn

Example Join Query:

SecurityEvent
| join kind=inner (DeviceInfo) on Computer
| project SecurityEvent.TimeGenerated, DeviceInfo.OS, SecurityEvent.EventID

Unions:

• Definition: Combine results from multiple queries into a single dataset.
• Syntax:

union Table1, Table2

Example Union Query:

union SecurityEvent, DeviceNetworkEvents
| where TimeGenerated > ago(1d)
| project TimeGenerated, Computer, EventID

Resources:

• Microsoft Learn: KQL Joins
• Microsoft Learn: KQL Unions

Use Cases:

• Failed Login Attempts:

SecurityEvent
| where EventID == 4625
| where TimeGenerated > ago(1d)
| summarize count() by Account, Computer
| where count_ > 5

• Suspicious Network Activity:

DeviceNetworkEvents
| where RemoteIPCountry != "United States"
| where TimeGenerated > ago(1d)
| summarize count() by RemoteIP, Computer
| where count_ > 10

Resources:

• Microsoft Learn: Writing Threat Hunting Queries

Exercise:

1. Scenario: Detect and analyze suspicious login activities.
2. Steps:
   • Write a KQL query to identify failed login attempts.
   • Use aggregation functions to summarize the data.
   • Apply joins to enrich the data with additional context.

Resources:

• GitHub: Sentinel Threat Hunting Labs

Summary: Today's focus is on advanced threat hunting using Kusto Query Language (KQL). By understanding the basics and advanced features of KQL, you can write effective queries to detect and analyze security threats. Hands-on labs provide practical experience in applying these concepts.

Test Yourself:

1. What are the basic components of a KQL query?
   • Answer: Table selection, filtering, projection, aggregation.
2. How do you use the summarize function in KQL?
   • Answer: The summarize function aggregates data by specified columns (e.g., summarize count() by Computer).
3. Describe the difference between a join and a union in KQL.
   • Answer: A join combines rows from two or more tables based on a related column, while a union combines results from multiple queries into a single dataset.
4. Write a KQL query to detect failed login attempts that occurred more than five times in the past day.
   • Answer:

SecurityEvent
| where EventID == 4625
| where TimeGenerated > ago(1d)
| summarize count() by Account, Computer
| where count_ > 5

• Microsoft Learn: Introduction to KQL
• Microsoft Learn: KQL Basics
• Microsoft Learn: KQL Aggregation Functions
• Microsoft Learn: KQL Joins
• Microsoft Learn: KQL Unions
• GitHub: Sentinel Threat Hunting Labs

Key Points:

1. Enhancing Threat Detection:

   • Using Regex in KQL
   • Advanced Filtering Techniques

2. Visualizing Data:

   • Creating Charts and Graphs in KQL
   • Using Workbooks for Visualization

3. Practical Applications:

   • Writing Complex Queries for Advanced Threat Hunting
   • Hands-on Lab Exercises

Detailed Learning Resource for Day 13:

Definition: Regular expressions (Regex) are patterns used to match character combinations in strings, useful for advanced data filtering and extraction.

Syntax:

• matches regex: Checks if a string matches a regular expression pattern.
• replace regex: Replaces parts of a string matching a regular expression pattern.

Example Query:

SecurityEvent
| where Account matches regex "^admin.*"
| project Account, Computer, EventID

Resources:

• Microsoft Learn: Regex in KQL

Techniques:

• Time Filtering: Filter data based on specific time ranges.
• Text Filtering: Use functions like contains, startswith, and endswith to filter text data.
• Numeric Filtering: Apply conditions to numeric fields using operators like >, <, >=, and <=.

Example Queries:

• Time Filtering:

SecurityEvent
| where TimeGenerated between(datetime(2023-01-01) .. datetime(2023-01-31))

• Text Filtering:

SecurityEvent
| where Account contains "admin"

• Numeric Filtering:

SecurityEvent
| where EventID >= 4624 and EventID <= 4634

Resources:

• Microsoft Learn: Advanced Filtering in KQL

Definition: Visualizing data in charts and graphs helps in quickly identifying patterns and anomalies.

Common Visuals:

• Timecharts: Plots data points over time.
• Piecharts: Represents data as slices of a pie.
• Barcharts: Displays data as bars.

Example Query for Timechart:

SecurityEvent
| where TimeGenerated > ago(7d)
| summarize count() by bin(TimeGenerated, 1h)
| render timechart

Resources:

• Microsoft Learn: Creating Visuals in KQL

Definition: Workbooks in Microsoft Sentinel are interactive dashboards that can display data from KQL queries in various visual formats.

Steps:

1. Create Workbook:
   • Navigate to the Workbooks section in Microsoft Sentinel.
   • Select "Create" and choose a template or start from scratch.
2. Add Queries:
   • Insert KQL queries to fetch and display data.
3. Customize Visuals:
   • Add charts, graphs, and tables to visualize data.
4. Save and Share:
   • Save the workbook and share it with relevant stakeholders.

Resources:

• Microsoft Learn: Using Workbooks in Sentinel

Use Cases:

• Detecting Lateral Movement:

SecurityEvent
| where EventID == 4648
| project TimeGenerated, Account, Computer, TargetAccount, TargetComputer

• Identifying Privilege Escalation:

SecurityEvent
| where EventID == 4672
| summarize count() by Account, Computer
| where count_ > 3

Resources:

• Microsoft Learn: Writing Complex Queries

Exercise:

1. Scenario: Detect and analyze privilege escalation attempts.
2. Steps:
   • Write a KQL query to identify privilege escalation events.
   • Visualize the data using a timechart.
   • Create a workbook to monitor and display these events.

Resources:

• GitHub: Sentinel Advanced Hunting Labs

Summary: Today's focus is on enhancing threat detection using advanced KQL techniques and visualizing data to better understand security events. By leveraging regex, advanced filtering, and visual tools, you can write complex queries and create insightful dashboards for effective threat hunting. Hands-on labs reinforce these concepts through practical application.

Test Yourself:

1. How do you use regex in KQL to filter data?
   • Answer: Use the matches regex operator to check if a string matches a regular expression pattern.
2. What are some advanced filtering techniques in KQL?
   • Answer: Time filtering, text filtering using functions like contains, and numeric filtering using operators like >, <, >=, and <=.
3. Write a KQL query to create a timechart of failed login attempts over the past week.
   • Answer:

SecurityEvent
| where TimeGenerated > ago(7d)
| where EventID == 4625
| summarize count() by bin(TimeGenerated, 1h)
| render timechart

4. Describe the steps to create a workbook in Microsoft Sentinel.
   • Answer: Navigate to the Workbooks section, create a new workbook, add KQL queries, customize visuals, and save and share the workbook.

• Microsoft Learn: Regex in KQL
• Microsoft Learn: Advanced Filtering in KQL
• Microsoft Learn: Creating Visuals in KQL
• Microsoft Learn: Using Workbooks in Sentinel
• Microsoft Learn: Writing Complex Queries
• GitHub: Sentinel Advanced Hunting Labs

Key Points:

1. Review Core Concepts:

   • Security Principles and Threat Landscape
   • Mitigation Strategies using Microsoft 365 Defender
   • Mitigation Strategies using Microsoft Sentinel

2. Practice Exam Preparation:

   • Understanding the Exam Format
   • Reviewing Sample Questions

3. Practice Exam:

   • Taking a Full-length Practice Exam
   • Analyzing Results and Identifying Knowledge Gaps

Detailed Learning Resource for Day 14:

Key Concepts:

• Confidentiality, Integrity, Availability (CIA Triad): Ensuring data is protected, accurate, and accessible to authorized users.
• Least Privilege: Providing the minimum level of access necessary for users to perform their jobs.
• Defense in Depth: Implementing multiple layers of security controls to protect information.
• Threat Types: Malware, phishing, ransomware, advanced persistent threats (APTs).
• Attack Vectors: Email, network, web applications, social engineering.

Resources:

• Microsoft Learn: Basic Security Concepts
• Microsoft Learn: Cyber Threats

Key Capabilities:

• Real-time Threat Detection and Monitoring: Using behavioral analysis and machine learning.
• Automated Investigation and Response: AI-driven automated investigation and remediation.
• Threat and Vulnerability Management: Identifying and mitigating vulnerabilities.

Resources:

• Microsoft Learn: Microsoft 365 Defender Overview
• Microsoft Learn: Automated Investigation and Response

Key Capabilities:

• Incident Management: Detecting, investigating, and responding to incidents.
• Analytics Rules and Automation: Creating rules and playbooks to automate responses.
• Threat Intelligence Integration: Leveraging threat intelligence to enhance detection.

Resources:

• Microsoft Learn: Microsoft Sentinel Overview
• Microsoft Learn: Creating Analytics Rules
• Microsoft Learn: Creating Playbooks

Format:

• Multiple-choice Questions: Select the correct answer from given options.
• Scenario-based Questions: Apply knowledge to specific scenarios.
• Hands-on Labs (if applicable): Practical tasks to demonstrate skills.

Resources:

• Microsoft Certification Exam Policies

Examples:

• Multiple-choice Question: What is the primary purpose of the CIA Triad in cybersecurity?

  • A. Protect data from unauthorized access
  • B. Ensure data accuracy and completeness
  • C. Ensure data availability to authorized users
  • D. All of the above

• Scenario-based Question: Given a scenario where multiple failed login attempts are detected from a specific IP address, how would you respond using Microsoft Sentinel?

Resources:

• Microsoft Learn: Sample Questions
• Exam Practice Resources: MeasureUp or Whizlabs

Steps:

1. Schedule a Time: Set aside uninterrupted time to take the practice exam.
2. Simulate Exam Conditions: Ensure a quiet environment, and avoid any distractions.
3. Use Official Practice Resources: Utilize resources like MeasureUp or Whizlabs for practice exams.

Resources:

• MeasureUp Practice Exams
• Whizlabs Practice Exams

Steps:

1. Review Results: Analyze your performance and identify areas where you struggled.
2. Focus on Weak Areas: Review relevant materials and practice more on those topics.
3. Seek Help if Needed: Use additional resources or ask for clarification on difficult topics.

Resources:

• Microsoft Learn: Review Modules
• Community Forums: Microsoft Tech Community

Summary: Today's focus is on reviewing core concepts and preparing for a practice exam. By revisiting key topics, understanding the exam format, and taking a full-length practice exam, you will be able to identify knowledge gaps and improve your readiness for the actual exam.

Test Yourself:

1. What are the three components of the CIA Triad in cybersecurity?
   • Answer: Confidentiality, Integrity, Availability.
2. How does automated investigation and response work in Microsoft 365 Defender?
   • Answer: Uses AI to automatically investigate alerts, determine the scope of threats, and apply remediation actions.
3. What is the role of playbooks in Microsoft Sentinel?
   • Answer: Playbooks automate response actions for incidents, using predefined workflows to streamline the incident response process.
4. Describe a scenario where you would use Microsoft Sentinel to respond to a security incident.
   • Answer: Detect multiple failed login attempts from a specific IP, use analytics rules to generate an alert, investigate the incident using investigation graphs, and respond by blocking the IP and isolating affected devices.

• Microsoft Learn: Basic Security Concepts
• Microsoft Learn: Microsoft 365 Defender Overview
• Microsoft Learn: Microsoft Sentinel Overview
• Microsoft Certification Exam Policies
• MeasureUp Practice Exams
• Whizlabs Practice Exams
• Community Forums: Microsoft Tech Community

Key Points:

1. Introduction to Automation in Microsoft Sentinel:

   • Overview of SOAR Capabilities
   • Benefits of Automation

2. Creating and Managing Playbooks:

   • Step-by-step Guide to Creating Playbooks
   • Best Practices for Playbook Management

3. Practical Applications:

   • Automating Common Security Tasks
   • Hands-on Lab Exercises

Detailed Learning Resource for Day 15:

Definition: SOAR (Security Orchestration, Automation, and Response) capabilities in Microsoft Sentinel help automate and streamline security operations by integrating various security tools and processes.

Components:

• Orchestration: Coordinating and integrating different security tools.
• Automation: Automating repetitive tasks to improve efficiency.
• Response: Providing automated responses to security incidents.

Benefits:

• Efficiency: Reduces the time and effort required to respond to incidents.
• Consistency: Ensures consistent and repeatable responses to security incidents.
• Scalability: Enables security teams to handle a larger volume of incidents.

Resources:

• Microsoft Learn: Introduction to SOAR in Microsoft Sentinel

Steps:

1. Access Automation:
   • Navigate to the Automation section in the Microsoft Sentinel workspace.
2. Create a New Playbook:
   • Click on "Create" and select "Playbook".
3. Define Triggers:
   • Choose a trigger that starts the playbook (e.g., when an incident is created).
4. Add Actions:
   • Define actions to be taken (e.g., send an email, block an IP).
5. Save and Test:
   • Save the playbook and test it to ensure it works as expected.

Example Playbook:

• Trigger: When an incident is created.
• Actions:
  • Send an email to the security team.
  • Block the IP address associated with the incident.
  • Isolate the affected device.

Resources:

• Microsoft Learn: Creating Playbooks

Recommendations:

• Start Simple: Begin with simple playbooks and gradually add complexity.
• Regular Testing: Test playbooks regularly to ensure they function correctly.
• Monitor and Update: Continuously monitor the effectiveness of playbooks and update them as needed.
• Documentation: Maintain thorough documentation of playbook workflows and actions.

Resources:

• Microsoft Learn: Managing Playbooks

Use Cases:

• Phishing Response: Automatically block malicious URLs and notify users.
• Malware Containment: Isolate infected devices and initiate scans.
• User Account Lockout: Lock accounts after multiple failed login attempts.

Example Scenario:

1. Phishing Email Detection:
   • Trigger: When a phishing email is detected.
   • Actions:
     • Block the sender's email address.
     • Send a notification to the user and the security team.
     • Add the sender to a blocklist.

Resources:

• Microsoft Learn: Automating Common Security Tasks

Exercise:

1. Scenario: Automate the response to a malware detection incident.
2. Steps:
   • Create a playbook that triggers when a malware detection incident is created.
   • Define actions to isolate the affected device, notify the security team, and initiate a malware scan.
   • Test the playbook to ensure it works as intended.

Resources:

• GitHub: Sentinel Playbook Labs

Summary: Today's focus is on configuring and managing automation in Microsoft Sentinel. By understanding SOAR capabilities, creating and managing playbooks, and automating common security tasks, you will enhance your ability to respond to incidents efficiently and consistently. Hands-on labs provide practical experience in applying these concepts.

Test Yourself:

1. What are the components of SOAR in Microsoft Sentinel?
   • Answer: Orchestration, automation, and response.
2. Describe the process of creating a playbook in Microsoft Sentinel.
   • Answer: Access the Automation section, create a new playbook, define triggers, add actions, save and test the playbook.
3. What are some best practices for managing playbooks in Microsoft Sentinel?
   • Answer: Start simple, test regularly, monitor and update, and maintain thorough documentation.
4. Provide an example of a common security task that can be automated using Microsoft Sentinel.
   • Answer: Automating the response to a phishing email detection, including blocking the sender's email address, notifying users, and adding the sender to a blocklist.

• Microsoft Learn: Introduction to SOAR in Microsoft Sentinel
• Microsoft Learn: Creating Playbooks
• Microsoft Learn: Managing Playbooks
• Microsoft Learn: Automating Common Security Tasks
• GitHub: Sentinel Playbook Labs

Key Points:

1. Advanced Playbook Techniques:

   • Nested Playbooks
   • Conditional Logic and Loops

2. Integrating Third-party Tools:

   • Connecting External Services
   • Example Integrations

3. Practical Applications:

   • Automating Complex Incident Responses
   • Hands-on Lab Exercises

Detailed Learning Resource for Day 16:

Definition: Nested playbooks allow one playbook to call another, enabling complex workflows and modular design.

Steps to Create Nested Playbooks:

1. Create Primary Playbook:
   • Define the main workflow and identify points where secondary playbooks should be called.
2. Create Secondary Playbooks:
   • Define the specific tasks for each secondary playbook.
3. Call Secondary Playbooks:
   • In the primary playbook, add actions to call secondary playbooks using the "Run Playbook" action.

Example Scenario:

• Primary Playbook: Handles overall incident response.
• Secondary Playbooks: Handle specific tasks like user notification, device isolation, and threat intelligence lookup.

Resources:

• Microsoft Learn: Nested Playbooks

Capabilities:

• Conditional Logic: Use conditions to execute different actions based on criteria.
• Loops: Perform repeated actions until a condition is met.

Steps to Implement Conditional Logic:

1. Add Condition Action:
   • Define the condition and specify the actions for each branch (if true, if false).
2. Configure Actions:
   • Add the appropriate actions for each condition branch.

Example Query with Conditional Logic:

SecurityEvent
| where EventID == 4625
| extend isMalicious = iff(Account == "admin", "true", "false")
| project Account, Computer, isMalicious

Resources:

• Microsoft Learn: Conditional Logic and Loops

Definition: Integrating third-party tools and services with Microsoft Sentinel enhances the automation capabilities and allows for more comprehensive incident response.

Steps to Connect External Services:

1. Create a Logic App Connector:
   • Use Azure Logic Apps to create connectors for external services.
2. Configure Authentication:
   • Set up authentication for the external service.
3. Add Actions to Playbook:
   • Use the connector to add actions that interact with the external service.

Example Integrations:

• ServiceNow: Create and update incidents in ServiceNow.
• Splunk: Forward logs and events to Splunk.
• Slack: Send notifications to Slack channels.

Resources:

• Microsoft Learn: Connecting External Services

ServiceNow Integration:

• Use Case: Automatically create a ServiceNow incident when a Sentinel alert is triggered.
• Steps:
  • Create a ServiceNow connector in Logic Apps.
  • Define actions to create an incident in ServiceNow with details from the Sentinel alert.

Splunk Integration:

• Use Case: Forward Sentinel logs and events to Splunk for further analysis.
• Steps:
  • Create a Splunk connector in Logic Apps.
  • Define actions to forward relevant logs and events to Splunk.

Slack Integration:

• Use Case: Send notifications to Slack channels for real-time alerting.
• Steps:
  • Create a Slack connector in Logic Apps.
  • Define actions to send messages to specific Slack channels based on Sentinel alerts.

Resources:

• Microsoft Learn: ServiceNow Integration
• Microsoft Learn: Splunk Integration
• Microsoft Learn: Slack Integration

Example Scenario:

• Incident: Phishing email detected.
• Automated Response:
  1. Primary Playbook: Triggered by the phishing alert.
  2. Secondary Playbooks:
     • Block sender's email address.
     • Notify affected users.
     • Update ServiceNow with incident details.
     • Forward logs to Splunk for further analysis.

Resources:

• Microsoft Learn: Complex Incident Response

Exercise:

1. Scenario: Automate response to a ransomware attack.
2. Steps:
   • Create a primary playbook that triggers on ransomware detection.
   • Define actions to isolate infected devices, notify the security team, and create an incident in ServiceNow.
   • Test the playbook to ensure it handles the incident as expected.

Resources:

• GitHub: Sentinel Automation Labs

Summary: Today's focus is on advanced automation techniques in Microsoft Sentinel, including nested playbooks, conditional logic, and integrating third-party tools. By mastering these techniques, you can automate complex incident responses and streamline your security operations. Hands-on labs provide practical experience in applying these advanced concepts.

Test Yourself:

1. What are nested playbooks, and how are they used in Microsoft Sentinel?
   • Answer: Nested playbooks allow one playbook to call another, enabling complex workflows and modular design. They are used to handle specific tasks within a larger incident response workflow.
2. Describe the steps to implement conditional logic in a playbook.
   • Answer: Add a condition action, define the condition, specify actions for each branch (if true, if false), and configure the appropriate actions for each condition branch.
3. How can you integrate third-party tools with Microsoft Sentinel?
   • Answer: Use Azure Logic Apps to create connectors for external services, configure authentication, and add actions that interact with the external service in the playbook.
4. Provide an example of a common security task that can be automated using nested playbooks and third-party integrations.
   • Answer: Automating the response to a phishing email detection, including blocking the sender's email address, notifying affected users, updating ServiceNow with incident details, and forwarding logs to Splunk for further analysis.

• Microsoft Learn: Nested Playbooks
• Microsoft Learn: Conditional Logic and Loops
• Microsoft Learn: Connecting External Services
• Microsoft Learn: ServiceNow Integration
• Microsoft Learn: Splunk Integration
• Microsoft Learn: Slack Integration
• GitHub: Sentinel Automation Labs

Key Points:

1. Data Manipulation and Transformation:

   • Using Data Transformation Functions
   • Creating Complex Queries

2. Utilizing Advanced Functions:

   • Time-based Functions
   • Statistical Functions

3. Practical Applications:

   • Writing Queries for Advanced Threat Scenarios
   • Hands-on Lab Exercises

Detailed Learning Resource for Day 17:

Definition: Data transformation functions in KQL allow you to manipulate and reshape data for more effective analysis and visualization.

Common Functions:

• extend: Adds calculated columns to the dataset.
• project: Selects specific columns to include in the result.
• parse: Extracts parts of a string based on a specified format.
• mv-expand: Expands multivalue fields into multiple rows.

Example Query Using extend:

SecurityEvent
| extend LogonType = case(LogonType == 2, "Interactive", LogonType == 3, "Network", "Other")
| project TimeGenerated, Computer, LogonType

Resources:

• Microsoft Learn: Data Transformation Functions

Techniques:

• Combining Multiple Functions: Use a combination of functions to transform and filter data.
• Subqueries: Nest queries within other queries to perform intermediate calculations or filtering.

Example Query with Subquery:

let FailedLogins = SecurityEvent
| where EventID == 4625
| summarize FailedAttempts = count() by Account, Computer;
FailedLogins
| where FailedAttempts > 5
| project Account, Computer, FailedAttempts

Resources:

• Microsoft Learn: Writing Complex Queries

Definition: Time-based functions in KQL allow you to manipulate and analyze time-related data.

Common Functions:

• bin(): Groups data into bins based on a specified time interval.
• ago(): Returns the datetime value that is the specified amount of time before the current UTC time.
• datetime_diff(): Calculates the difference between two datetime values.

Example Query Using bin:

SecurityEvent
| where TimeGenerated > ago(7d)
| summarize Count = count() by bin(TimeGenerated, 1h)

Resources:

• Microsoft Learn: Time-based Functions

Definition: Statistical functions in KQL are used to perform advanced statistical analysis on data.

Common Functions:

• percentiles(): Calculates the specified percentiles of a numeric column.
• stdev(): Computes the standard deviation of a numeric column.
• variance(): Calculates the variance of a numeric column.

Example Query Using percentiles:

SecurityEvent
| where EventID == 4624
| summarize percentiles(TimeTaken, 50, 90, 99) by Account

Resources:

• Microsoft Learn: Statistical Functions

Use Cases:

• Detecting Brute Force Attacks:

let FailedLogins = SecurityEvent
| where EventID == 4625
| summarize FailedAttempts = count() by Account, Computer, bin(TimeGenerated, 1h);
FailedLogins
| where FailedAttempts > 10
| project Account, Computer, FailedAttempts

• Identifying Unusual Login Times:

SecurityEvent
| where EventID == 4624
| extend LoginHour = format_datetime(TimeGenerated, 'HH')
| summarize LoginCount = count() by Account, LoginHour
| where LoginHour not in ('08', '09', '10', '11', '12', '13', '14', '15', '16', '17')
| project Account, LoginHour, LoginCount

Resources:

• Microsoft Learn: Writing Threat Hunting Queries

Exercise:

1. Scenario: Detect and analyze unusual login patterns.
2. Steps:
   • Write a KQL query to identify login attempts outside normal business hours.
   • Use time-based and statistical functions to analyze the data.
   • Create a visualization to display the results.

Resources:

• GitHub: Sentinel Advanced Hunting Labs

Summary: Today's focus is on advanced data manipulation and transformation using KQL, as well as utilizing time-based and statistical functions for threat hunting. By mastering these advanced techniques, you can write complex queries to detect sophisticated threats and analyze data more effectively. Hands-on labs provide practical experience in applying these concepts.

Test Yourself:

1. How do you use the extend function in KQL to add a calculated column?
   • Answer: The extend function adds calculated columns to the dataset, for example:

   SecurityEvent
   | extend LogonType = case(LogonType == 2, "Interactive", LogonType == 3, "Network", "Other")
   | project TimeGenerated, Computer, LogonType

2. What are some common time-based functions in KQL, and how are they used?
   • Answer: Common time-based functions include bin(), ago(), and datetime_diff(). They are used to group data by time intervals, calculate time differences, and filter data based on time.
3. Write a KQL query to identify accounts with more than 10 failed login attempts in an hour.
   • Answer:

   let FailedLogins = SecurityEvent
   | where EventID == 4625
   | summarize FailedAttempts = count() by Account, Computer, bin(TimeGenerated, 1h);
   FailedLogins
   | where FailedAttempts > 10
   | project Account, Computer, FailedAttempts

4. How can statistical functions in KQL help in threat hunting?
   • Answer: Statistical functions like percentiles(), stdev(), and variance() can help identify anomalies and patterns in data, providing deeper insights into potential threats.

• Microsoft Learn: Data Transformation Functions
• Microsoft Learn: Writing Complex Queries
• Microsoft Learn: Time-based Functions
• Microsoft Learn: Statistical Functions
• Microsoft Learn: Writing Threat Hunting Queries
• GitHub: Sentinel Advanced Hunting Labs

Key Points:

1. Overview of Blue Team Responsibilities:

   • Defining the Role of the Blue Team
   • Key Objectives and Tasks

2. Introduction to Blue Team Tools:

   • Popular Tools and Their Uses
   • Integrating Tools into Security Operations

3. Hands-on Lab Exercises:

   • Practical Applications of Blue Team Tools
   • Simulating Blue Team Scenarios

Detailed Learning Resource for Day 18:

Definition: The Blue Team is responsible for defending an organization's IT environment from cyber threats. Their primary role is to detect, respond to, and mitigate security incidents.

Key Responsibilities:

• Monitoring and Detection: Continuously monitoring networks and systems for signs of compromise.
• Incident Response: Quickly responding to security incidents to minimize impact.
• Threat Hunting: Proactively searching for threats that evade automated detection.
• Vulnerability Management: Identifying and mitigating vulnerabilities in the environment.
• Security Policy Enforcement: Ensuring that security policies and best practices are followed.

Resources:

• Microsoft Learn: Introduction to Blue Team

Objectives:

• Protect: Safeguard information and systems from unauthorized access and harm.
• Detect: Identify potential security incidents in a timely manner.
• Respond: Take appropriate actions to contain and mitigate incidents.
• Recover: Restore normal operations after a security incident.

Tasks:

• Log Analysis: Reviewing logs from various sources to identify suspicious activity.
• Network Traffic Analysis: Monitoring network traffic for anomalies.
• Endpoint Protection: Implementing and managing endpoint security solutions.
• Patch Management: Ensuring systems are up-to-date with the latest security patches.

Resources:

• Microsoft Learn: Blue Team Objectives

Tools:

• Splunk: Log management and SIEM solution for analyzing and visualizing security data.
• Wireshark: Network protocol analyzer for monitoring and analyzing network traffic.
• OSSEC: Open-source host-based intrusion detection system (HIDS).
• Sysinternals Suite: Collection of utilities for managing, diagnosing, and troubleshooting Windows environments.
• Microsoft Defender for Endpoint: Comprehensive endpoint security solution for detecting and responding to threats.

Example Tool Uses:

• Splunk: Aggregating logs from various sources and creating dashboards to visualize security events.
• Wireshark: Capturing and analyzing network packets to detect anomalies.
• OSSEC: Monitoring system logs and files for signs of compromise.

Resources:

• Microsoft Learn: Introduction to Splunk
• Wireshark Documentation
• OSSEC Documentation

Steps:

1. Select Tools: Choose tools that meet the specific needs of your security operations.
2. Deploy and Configure: Properly deploy and configure tools to integrate them into your environment.
3. Monitor and Maintain: Continuously monitor and maintain tools to ensure they function correctly.
4. Train Staff: Ensure staff are trained to use the tools effectively.

Example Integration:

• Integrating Splunk with Microsoft Sentinel:
  • Configure Splunk to forward logs to Microsoft Sentinel.
  • Use Microsoft Sentinel to analyze and correlate data from Splunk.

Resources:

• Microsoft Learn: Integrating Tools

Exercise:

1. Scenario: Use Splunk to analyze logs and identify a potential security incident.
2. Steps:
   • Configure Splunk to collect logs from various sources.
   • Create a dashboard in Splunk to visualize security events.
   • Analyze the logs to identify anomalies and potential threats.

Resources:

• Splunk Labs

Exercise:

1. Scenario: Simulate a network attack and use Wireshark to analyze the traffic.
2. Steps:
   • Capture network traffic using Wireshark.
   • Analyze the captured packets to identify signs of the attack.
   • Document findings and recommend mitigation steps.

Resources:

• Wireshark Labs

Summary: Today's focus is on understanding the responsibilities of the Blue Team and getting hands-on experience with popular Blue Team tools. By learning to use tools like Splunk, Wireshark, and OSSEC, and integrating them into your security operations, you can enhance your ability to detect, respond to, and mitigate security incidents. Hands-on labs provide practical experience in applying these concepts.

Test Yourself:

1. What are the primary responsibilities of the Blue Team in cybersecurity?
   • Answer: Monitoring and detection, incident response, threat hunting, vulnerability management, and security policy enforcement.
2. Describe how Splunk can be used in security operations.
   • Answer: Splunk can be used to aggregate logs from various sources, create dashboards to visualize security events, and analyze data to identify anomalies and potential threats.
3. How can Wireshark help in network traffic analysis?
   • Answer: Wireshark captures and analyzes network packets, helping to detect anomalies and understand network traffic patterns.
4. What are the steps to integrate security tools into your operations?
   • Answer: Select tools, deploy and configure them, monitor and maintain them, and train staff to use them effectively.

• Microsoft Learn: Introduction to Blue Team
• Microsoft Learn: Blue Team Objectives
• Microsoft Learn: Introduction to Splunk
• Wireshark Documentation
• OSSEC Documentation
• Microsoft Learn: Integrating Tools
• Splunk Labs
• Wireshark Labs

Key Points:

1. Advanced Techniques in Blue Team Operations:

   • Network Segmentation and Isolation
   • Implementing Deception Technologies

2. Deep Dive into Splunk for Security Monitoring:

   • Advanced Searches and Alerts
   • Creating and Managing Dashboards

3. Hands-on Lab Exercises:

   • Practical Applications of Advanced Blue Team Techniques
   • Simulating Blue Team Scenarios with Splunk

Detailed Learning Resource for Day 19:

Definition: Network segmentation involves dividing a network into smaller segments or subnets to limit the spread of security incidents and contain potential breaches.

Benefits:

• Enhanced Security: Limits the impact of a breach by containing it within a segment.
• Improved Performance: Reduces network congestion and improves performance.
• Simplified Management: Easier to manage and monitor smaller segments.

Implementation Steps:

1. Identify Critical Assets: Determine which assets need the highest level of protection.
2. Define Segments: Create segments based on the sensitivity and function of assets.
3. Configure Network Devices: Use firewalls, routers, and switches to enforce segmentation.
4. Monitor Traffic: Continuously monitor traffic between segments for anomalies.

Resources:

• Microsoft Learn: Network Segmentation

Definition: Deception technologies use decoys and traps to detect, analyze, and defend against attackers.

Techniques:

• Honeypots: Fake systems that attract attackers and monitor their activities.
• Honeytokens: False data that triggers an alert when accessed.
• Deceptive Networks: Entire networks designed to deceive attackers.

Benefits:

• Early Detection: Identifies attackers early in the attack lifecycle.
• Insight into Attack Methods: Provides valuable information about attacker techniques and tactics.
• Resource Drain on Attackers: Wastes attacker resources and time.

Implementation Steps:

1. Deploy Decoys: Set up honeypots and honeytokens within the network.
2. Monitor and Analyze: Continuously monitor the decoys for signs of attacker activity.
3. Respond: Use the information gathered to strengthen defenses and respond to threats.

Resources:

• Microsoft Learn: Deception Technologies

Definition: Advanced searches in Splunk allow for complex querying and analysis of security data. Alerts can be set up to notify security teams of potential incidents.

Key Features:

• Search Processing Language (SPL): Splunk's query language for searching and analyzing data.
• Real-time Alerts: Notifications based on predefined search criteria.
• Scheduled Searches: Regularly run searches to identify trends and anomalies.

Example Advanced Search Query:

index=security sourcetype=access_combined
| stats count by src_ip
| where count > 100

Setting Up Alerts:

1. Define Search Criteria: Use SPL to define the conditions that trigger an alert.
2. Configure Alert Actions: Specify what actions to take when an alert is triggered (e.g., send an email, run a script).
3. Set Alert Schedule: Determine how often the search should run and under what conditions.

Resources:

• Splunk Documentation: Advanced Searches
• Splunk Documentation: Creating Alerts

Definition: Dashboards in Splunk provide a visual representation of data, allowing for easier monitoring and analysis.

Key Features:

• Customizable Panels: Add charts, graphs, and other visual elements to display data.
• Drilldown Capabilities: Enable detailed exploration of data points.
• Sharing and Collaboration: Share dashboards with team members and stakeholders.

Steps to Create a Dashboard:

1. Access Dashboards: Navigate to the Dashboards section in Splunk.
2. Create New Dashboard: Select "Create New Dashboard" and name it.
3. Add Panels: Use SPL to add panels displaying relevant data.
4. Customize Layout: Arrange and customize the panels for optimal visualization.
5. Save and Share: Save the dashboard and share it with the team.

Example Dashboard Panels:

• Top IP Addresses by Traffic: Shows the IP addresses generating the most traffic.
• Failed Login Attempts Over Time: Displays trends in failed login attempts.
• Incident Summary: Provides an overview of detected security incidents.

Resources:

• Splunk Documentation: Creating Dashboards

Exercise:

1. Scenario: Implement network segmentation to protect critical assets.
2. Steps:
   • Identify critical assets and define network segments.
   • Configure network devices to enforce segmentation.
   • Monitor traffic between segments for anomalies.

Resources:

• Microsoft Learn: Network Segmentation Labs

Exercise:

1. Scenario: Use Splunk to detect and respond to a potential data exfiltration incident.
2. Steps:
   • Configure Splunk to collect and analyze network traffic logs.
   • Create an advanced search to identify unusual data transfer patterns.
   • Set up an alert to notify the security team of potential exfiltration.
   • Create a dashboard to monitor data exfiltration attempts.

Resources:

• Splunk Security Labs

Summary: Today's focus is on advanced Blue Team techniques, including network segmentation, deception technologies, and deep diving into Splunk for security monitoring. By mastering these techniques and tools, you can enhance your ability to detect, respond to, and mitigate security incidents. Hands-on labs provide practical experience in applying these advanced concepts.

Test Yourself:

1. What are the benefits of network segmentation in cybersecurity?
   • Answer: Enhanced security by limiting the impact of breaches, improved performance by reducing network congestion, and simplified management by making it easier to monitor and control smaller segments.
2. How do deception technologies help in cybersecurity?
   • Answer: Deception technologies detect attackers early, provide insights into attack methods, and drain attacker resources by wasting their time on decoys and traps.
3. Describe the steps to create an advanced search query in Splunk.
   • Answer: Define search criteria using SPL, configure the query to filter and analyze data, and use functions like stats to aggregate results.
4. How can dashboards in Splunk improve security monitoring?
   • Answer: Dashboards provide visual representations of data, making it easier to monitor and analyze security events, enable drilldown for detailed exploration, and facilitate sharing and collaboration among team members.

• Microsoft Learn: Network Segmentation
• Microsoft Learn: Deception Technologies
• Splunk Documentation: Advanced Searches
• Splunk Documentation: Creating Alerts
• Splunk Documentation: Creating Dashboards
• Splunk Security Labs

Key Points:

1. Comprehensive Review:

   • Summary of Key Concepts and Topics
   • Reviewing Critical Tools and Techniques

2. Practice Exams:

   • Taking Full-Length Practice Exams
   • Analyzing Results and Focusing on Weak Areas

3. Preparation Tips:

   • Strategies for Exam Day
   • Tips for Effective Study and Retention

Detailed Learning Resource for Day 20:

Security Principles:

• CIA Triad: Confidentiality, Integrity, Availability
• Least Privilege: Granting the minimum access necessary
• Defense in Depth: Multiple layers of security controls

Threat Landscape:

• Common Threats: Malware, phishing, ransomware, APTs
• Threat Actors: Hackers, insider threats, nation-states

Mitigation Strategies:

• Microsoft 365 Defender: Real-time threat detection, automated investigation, threat and vulnerability management
• Microsoft Sentinel: Incident management, analytics rules, playbooks, threat intelligence

Threat Hunting:

• KQL Basics and Advanced Techniques: Filtering, aggregation, joins, unions, time-based and statistical functions

Blue Team Operations:

• Tools: Splunk, Wireshark, OSSEC, Microsoft Defender for Endpoint
• Techniques: Network segmentation, deception technologies, advanced monitoring with Splunk

Resources:

• Microsoft Learn: SC-200 Training Modules

Splunk:

• Search Processing Language (SPL): Advanced searches, creating alerts, and dashboards
• Dashboards: Visualizing data for monitoring and analysis

Microsoft Sentinel:

• Playbooks: Automating responses to incidents
• Analytics Rules: Creating and managing rules for threat detection

Microsoft Defender for Endpoint:

• EDR Capabilities: Real-time threat detection and response
• Automated Investigation: AI-driven investigation and remediation

Resources:

• Microsoft Learn: Splunk Integration
• Microsoft Learn: Microsoft Sentinel Overview
• Microsoft Learn: Microsoft Defender for Endpoint

Steps:

1. Schedule a Time: Set aside uninterrupted time for the practice exam.
2. Simulate Exam Conditions: Ensure a quiet environment, similar to the actual exam.
3. Use Official Practice Resources: Utilize MeasureUp, Whizlabs, or similar resources for practice exams.

Resources:

• MeasureUp Practice Exams
• Whizlabs Practice Exams

Steps:

1. Review Results: Analyze your performance to identify strong and weak areas.
2. Focus on Weak Areas: Revisit the relevant materials and practice more on those topics.
3. Seek Help if Needed: Use additional resources or ask for clarification on difficult topics.

Resources:

• Microsoft Learn: Review Modules
• Community Forums: Microsoft Tech Community

Tips:

• Get Adequate Rest: Ensure you are well-rested before the exam.
• Arrive Early: Give yourself plenty of time to get to the exam location.
• Stay Calm: Keep calm and focused during the exam.

Resources:

• Microsoft Certification Exam Policies

Strategies:

• Active Learning: Engage with the material through practice exercises and hands-on labs.
• Regular Breaks: Take regular breaks to avoid burnout.
• Study Groups: Join or form study groups for collaborative learning.

Resources:

• Microsoft Learn: Study Tips

Summary: Today's focus is on a comprehensive review of key concepts and topics, taking full-length practice exams, and analyzing your results to identify areas for improvement. By following the preparation tips and engaging in active learning, you will be well-prepared for the SC-200 exam.

Test Yourself:

1. What are the components of the CIA Triad in cybersecurity?
   • Answer: Confidentiality, Integrity, Availability
2. Describe how automated investigation and response work in Microsoft Defender for Endpoint.
   • Answer: Uses AI to automatically investigate alerts, determine the scope of threats, and apply remediation actions.
3. How can dashboards in Splunk improve security monitoring?
   • Answer: Dashboards provide visual representations of data, making it easier to monitor and analyze security events, enable drilldown for detailed exploration, and facilitate sharing and collaboration among team members.
4. What are some best practices for managing playbooks in Microsoft Sentinel?
   • Answer: Start simple, test regularly, monitor and update, and maintain thorough documentation.

• Microsoft Learn: SC-200 Training Modules
• MeasureUp Practice Exams
• Whizlabs Practice Exams
• Microsoft Certification Exam Policies
• Community Forums: Microsoft Tech Community

Key Points:

1. Final Review of All Topics:

   • Revisiting Core Concepts and Tools
   • Summarizing Key Takeaways

2. Focused Study on Weak Areas:

   • Identifying Knowledge Gaps
   • Targeted Practice and Review

3. Last-minute Preparation Tips:

   • Exam Day Strategies
   • Maintaining Confidence and Focus

Detailed Learning Resource for Day 21:

Security Principles:

• CIA Triad: Ensuring data is protected (Confidentiality), accurate (Integrity), and accessible (Availability).
• Least Privilege: Minimizing access to only what is necessary.
• Defense in Depth: Implementing multiple layers of security controls.

Threat Landscape:

• Common Threats: Understanding malware, phishing, ransomware, and advanced persistent threats (APTs).
• Threat Actors: Recognizing the motives and methods of hackers, insider threats, and nation-states.

Mitigation Strategies:

• Microsoft 365 Defender: Using real-time threat detection, automated investigation, and threat and vulnerability management.
• Microsoft Sentinel: Managing incidents, creating analytics rules, and automating responses with playbooks and threat intelligence.

Threat Hunting:

• KQL Techniques: Using filtering, aggregation, joins, unions, and advanced functions for threat detection.

Blue Team Operations:

• Tools: Utilizing Splunk, Wireshark, OSSEC, and Microsoft Defender for Endpoint.
• Techniques: Implementing network segmentation, deception technologies, and advanced monitoring.

Resources:

• Microsoft Learn: SC-200 Training Modules
• Microsoft Learn: Basic Security Concepts

Summary:

• Security Principles: Focus on protecting, detecting, responding, and recovering from threats.
• Tools and Techniques: Mastery of tools like Microsoft 365 Defender, Microsoft Sentinel, and Splunk is crucial.
• Practical Skills: Ability to apply concepts through practical scenarios and hands-on labs.

Resources:

• Microsoft Learn: Summary Modules

Steps:

1. Review Practice Exam Results: Identify questions and topics where you scored lower.
2. List Weak Areas: Create a list of concepts and tools that need more review.

Resources:

• MeasureUp Practice Exams
• Whizlabs Practice Exams

Steps:

1. Revisit Key Resources: Focus on the topics identified as weak areas.
2. Use Interactive Learning: Engage with labs, quizzes, and practice scenarios.
3. Seek Clarification: Use forums, study groups, and additional resources to clarify doubts.

Resources:

• Microsoft Learn: Interactive Labs
• Community Forums: Microsoft Tech Community

Tips:

• Get Adequate Rest: Ensure you are well-rested the night before the exam.
• Arrive Early: Give yourself plenty of time to get to the exam location.
• Stay Calm and Focused: Take deep breaths and stay focused during the exam.

Resources:

• Microsoft Certification Exam Policies

Strategies:

• Positive Visualization: Visualize yourself succeeding in the exam.
• Confidence Building: Remind yourself of your preparation and practice.
• Mindfulness Techniques: Use techniques like meditation to stay calm and focused.

Resources:

• Microsoft Learn: Study Tips

Summary: Today's focus is on a final comprehensive review of all key concepts and tools, identifying and addressing any remaining weak areas, and preparing yourself mentally and physically for the exam. By following these steps and strategies, you will be well-prepared and confident to take the SC-200 exam.

Test Yourself:

1. What are the primary components of the CIA Triad in cybersecurity?
   • Answer: Confidentiality, Integrity, Availability.
2. How does automated investigation and response work in Microsoft 365 Defender?
   • Answer: Uses AI to automatically investigate alerts, determine the scope of threats, and apply remediation actions.
3. What is the role of playbooks in Microsoft Sentinel?
   • Answer: Playbooks automate response actions for incidents using predefined workflows to streamline the incident response process.
4. Describe a scenario where network segmentation would enhance security.
   • Answer: Segmentation can limit the spread of malware within a network by containing it within a specific segment, preventing it from reaching critical systems.

• Microsoft Learn: SC-200 Training Modules
• MeasureUp Practice Exams
• Whizlabs Practice Exams
• Microsoft Certification Exam Policies
• Community Forums: Microsoft Tech Community

Ressurser:

1. Microsoft Learn: Basic Security Concepts
2. Pluralsight: Overview of SC-200
3. Microsoft Learn: Cyber Threats
4. Security Blue Team: Security Fundamentals

Ressurser:

1. Microsoft Learn: Data Integrity
2. Microsoft Learn: Ensuring Availability
3. Microsoft Learn: Least Privilege Principle
4. Security Blue Team: Threat Intelligence

Ressurser:

1. Microsoft Learn: Introduction to Microsoft 365 Defender
2. Microsoft Learn: Microsoft 365 Defender Modules
3. Security Blue Team: Phishing Analysis
4. GitHub: SC-200 Labs

Ressurser:

1. Microsoft Learn: Introduction to Microsoft Sentinel
2. Microsoft Learn: Setting Up Microsoft Sentinel
3. Microsoft Learn: Connecting Data Sources
4. Security Blue Team: SIEM
5. GitHub: Azure Sentinel

Ressurser:

1. Microsoft Learn: Investigate and respond to attacks using Microsoft 365 Defender
2. Pluralsight: Deep Dive into Defender for Endpoint
3. Community Forums: Microsoft Tech Community
4. Security Blue Team: Digital Forensics

Ressurser:

1. Microsoft Learn: Incident Response with Sentinel
2. Pluralsight: Advanced Sentinel Operations
3. GitHub: SC-200 Labs
4. Security Blue Team: Incident Response

Ressurser:

1. MeasureUp Practice Exams
2. Whizlabs Practice Exams

Ressurser:

1. Microsoft Learn: Configure automation in Microsoft Sentinel
2. Pluralsight: Automation and Playbooks

Ressurser:

1. Microsoft Learn: KQL for Threat Hunting
2. Hands-on Labs: Writing and executing KQL queries

Ressurser:

1. Pluralsight: Blue Team Tools and Splunk
2. Community Blogs and Forums
3. Security Blue Team: Blue Team Labs

Ressurser:

1. MeasureUp Practice Exams
2. Whizlabs Practice Exams

Konklusjon Ved å følge denne 3-ukers intensive læringsplanen, vil du få kunnskapen og de praktiske ferdighetene som kreves for å bestå både SC-200 og Blue Team Level 1 sertifiseringene. Bruk de tilgjengelige ressursene, delta i community-fora, og gjennomgå jevnlig fremdriften din for å sikre suksess.

Relaterte emner å utforske:

1. Avansert trusselintelligens
2. Automatisert hendelseshåndtering
3. Sikkerhet i skyen
4. Endpoint Detection and Response (EDR)
5. Cybersikkerhetsstyring

SC-200:

1. Microsoft Learn: Basic Security Concepts
2. Microsoft Learn: Cyber Threats

BTL1:

1. Security Blue Team: Security Fundamentals
2. Soft Skills: Communication, Teamwork, Problem Solving, Time Management, Motivation, Burnout, Imposter Syndrome, Alert Fatigue

SC-200:

1. Microsoft Learn: Data Integrity
2. Microsoft Learn: Ensuring Availability

BTL1:

1. Security Blue Team: Networking 101
2. Security Blue Team: Threat Intelligence

SC-200:

1. Microsoft Learn: Introduction to Microsoft 365 Defender
2. Microsoft Learn: Microsoft 365 Defender Modules

BTL1:

1. Security Blue Team: Security Controls
2. Security Blue Team: Phishing Analysis

SC-200:

1. Microsoft Learn: Real-time Threat Detection
2. Microsoft Learn: Automated Investigation and Response

BTL1:

1. Security Blue Team: Phishing Analysis
2. Security Blue Team: Management Principles

SC-200:

1. Microsoft Learn: Introduction to Microsoft Sentinel
2. Microsoft Learn: Setting Up Microsoft Sentinel
3. GitHub: Azure Sentinel

BTL1:

1. Security Blue Team: SIEM

SC-200:

1. Microsoft Learn: Investigate and respond to attacks using Microsoft 365 Defender
2. Pluralsight: Deep Dive into Defender for Endpoint

BTL1:

1. Security Blue Team: Digital Forensics

SC-200:

1. Microsoft Learn: Incident Response with Sentinel
2. Pluralsight: Advanced Sentinel Operations

BTL1:

1. Security Blue Team: Incident Response

SC-200 & BTL1:

1. MeasureUp Practice Exams
2. Whizlabs Practice Exams

SC-200:

1. Microsoft Learn: Configure automation in Microsoft Sentinel
2. Pluralsight: Automation and Playbooks

BTL1:

1. Security Blue Team: Threat Intelligence Platforms

SC-200:

1. Microsoft Learn: KQL for Threat Hunting
2. Hands-on Labs: Writing and executing KQL queries

BTL1:

1. Security Blue Team: Threat Exposure Checks

SC-200:

1. Pluralsight: Blue Team Tools and Splunk
2. Community Blogs and Forums

BTL1:

1. Security Blue Team: Blue Team Labs

SC-200 & BTL1:

1. MeasureUp Practice Exams
2. Whizlabs Practice Exams

Konklusjon Ved å følge denne omfattende 21-dagers læringsplanen, vil du få kunnskap og praktiske ferdigheter som kreves for å bestå både SC-200 og Blue Team Level 1 sertifiseringene. Bruk de tilgjengelige ressursene, delta i community-fora, og gjennomgå jevnlig fremdriften din for å sikre suksess.

Relaterte emner å utforske:

1. Avansert trusselintelligens
2. Automatisert hendelseshåndtering
3. Sikkerhet i skyen
4. Endpoint Detection and Response (EDR)
5. Cybersikkerhetsstyring