Home - ensarseker1/AI-Workshop GitHub Wiki
Welcome to the AI-Workshop wiki!
What is This Training About?
This comprehensive course explores artificial intelligence in the cybersecurity sector, blending essential theoretical knowledge with hands-on practical applications. Aimed at cybersecurity professionals, IT managers, CISOs, and tech enthusiasts, this training is your gateway to leveraging AI for enhanced security protocols.
About the Speaker:
Ensar Şeker, an accomplished professional in the field of Electrical and Computer Engineering (ECE), completed his undergraduate and graduate studies at New York Tech. He furthered his academic pursuits at TalTech for his Ph.D. in Information and Communication Technologies.
His professional journey began in the United States, where he served as an IT Specialist at Solaris from 2010 to 2013. He then transitioned to Turkish Petroleum A.Ş. in Turkey, where he held the esteemed position of Chief of the IT Department from 2013 to 2015.
In 2016, Ensar took on a significant role as the national representative for the Republic of Turkey and a security researcher at the NATO Cooperative Cyber Defense Center of Excellence (CCD COE) based in Tallinn, Estonia. This role lasted until 2018.
Simultaneously, from 2015 to October 2020, he contributed his expertise as a senior researcher at TÜBİTAK BİLGEM Cyber Security Institute. Since November 2020, he has been managing multiple roles at DefenseIn and then BGA Security, including MDR project manager, pentest project manager, and CISO.
Ensar holds the prestigious positions of Vice President of Research and CISO at SOCRadar. His professional qualifications include eWPTX (eLearnSecurity Web Application Penetration Tester eXtreme), eCTHP (eLearnSecurity Certified Threat Hunting Professional), CRTP (Certified Red Team Professional), CCISO (Certified Chief Information Security Officer), CEH (Certified Ethical Hacker), CTIA (Certified Threat Intelligence Analyst), CND (Certified Network Defender), CSA (Certified SOC Analyst), DRP (Disaster Recovery Professional), CEI (Certified EC-Council Instructor), CES (Certified Encryption Specialist), CCSE (Certified Cloud Security Engineer) certifications. He is a prolific writer with over 150 published articles on cyber security, artificial intelligence, and blockchain, further establishing his authority in these fields.
Module 1: Introduction to AI in Cybersecurity
- Definitions and Fundamentals: Understand the foundational concepts of AI, focusing on how these technologies impact cybersecurity.
- Overview of Models: Learn about different large language models (LLMs), such as GPT and BERT, their functionalities, and their applications in security contexts.
- AI Security Landscape: Discuss the major challenges, threats, and the crucial role of AI in enhancing cybersecurity measures.
- Real-World Case Studies: Analyze attack vectors using real-world scenarios to understand how AI systems can be exploited and how to defend against such vulnerabilities.
- Emerging Trends: Stay ahead with knowledge on the latest trends in AI security, preparing for future developments.
## Module 2: AI Use Cases in Cybersecurity
- Threat Intelligence: How AI can automate and enhance the detection and analysis of cyber threats.
- Incident Response: Utilize AI to respond more effectively to security breaches.
- Vulnerability Management: Implement AI tools to proactively identify and manage security vulnerabilities.
- Security Awareness: AI trains and prepares teams to recognize and respond to security threats.
- Executive Reporting: Use AI to streamline the creation of security reports and the handling of complex incidents like ransomware attacks.
Module 3: Risk Assessment and Management in AI
- Identifying Vulnerabilities: Techniques to pinpoint security weaknesses in AI systems.
- Risk Assessments: Conduct thorough risk assessments specific to AI technologies and prepare strategies to mitigate these risks.
- Threat Analysis: Deep dive into AI-centric threat intelligence to better predict and neutralize potential threats.
- Proactive Measures: Develop proactive security measures tailored for AI environments to reduce risks and enhance security.
Module 4: Compliance and Regulatory Considerations
- Legal Frameworks: Understand the laws and regulations that impact AI in cybersecurity, including the EU Artificial Intelligence Act.
- Navigating Compliance: Learn about compliance requirements, data privacy issues, and ethical considerations in AI usage.
- Auditing and Reporting: Master the skills needed to audit AI systems and maintain compliance with various regulatory frameworks.
Module 5: Offensive and Defensive AI in Cybersecurity
- Traditional vs. AI-Powered Security: Compare and contrast traditional cybersecurity methods with AI-powered techniques.
- AI-Powered Detection and Response: Explore advanced AI mechanisms for threat detection and response.
- Pentesting AI Systems: Techniques for penetration testing designed explicitly for AI systems to identify and exploit vulnerabilities.
- Developing AI Systems: Hands-on experience in developing and implementing AI-based security solutions.
- Workshop: Navigating AI: Practical Security and Utility for Everyday Use
- Practical Skills: Participants will gain practical experience with AI tools and learn how to integrate AI securely into their daily operations.
- Detecting Deepfakes: Techniques for identifying and mitigating the risks associated with AI-generated fake content.
- Risk Management: Strategies for managing and mitigating risks associated with AI in the cybersecurity domain.
Why Enroll in This Course?
Beyond gaining cutting-edge knowledge and skills, participants will engage in lively discussions, tackle practical exercises, and, upon successfully completing the workshop exam, receive a certification from SOCRadar.
This course is an investment in your future. In the digital age, where AI-driven threats and opportunities grow exponentially, being equipped with the proper knowledge and tools isn’t just an advantage—it’s a necessity.