CISSP - AI Machine Learning Security Adversarial Attacks and LLM Risks
CISSP Domain 8 AI and machine learning security: adversarial ML attack categories (evasion, poisoning, extraction, inference), data poisoning and backdoor attacks, AI ethics and algorithmic bias, disparate impact, large language model security (prompt injection, OWASP LLM Top 10), and AI regulatory frameworks (NIST AI RMF, EU AI Act). Part of the complete CISSP study playlist.
▶ Watch next: CISSP - Domain 8 Software Security Review and Series Conclusion [8.7] https://www.youtube.com/watch?v=4dQ1AzLJKVk
📺 Full playlist: CISSP (2026) https://www.youtube.com/playlist?list=PLlIAFxS2964_GeKeh8LDk8XTeUCQkb08g
Chapters
- 0:00 AI and ML in Security -- Opportunity and Attack Surface
- 2:58 Adversarial Machine Learning -- Evasion and Poisoning
- 5:32 Data Poisoning and Model Manipulation
- 8:22 AI Ethics and Bias in Security Systems
- 11:01 Large Language Model Security
- 13:50 AI Regulatory Frameworks -- NIST AI RMF and the EU AI Act
- 16:32 Quiz Time
CISSP Domain 8 AI and machine learning security: adversarial ML attack categories (evasion, poisoning, extraction, inference), data poisoning and backdoor attacks, AI ethics and algorithmic bias, disparate impact, large language model...
Key Topics
- AI and ML in Security -- Opportunity and Attack Surface
- Adversarial Machine Learning -- Evasion and Poisoning
- Data Poisoning and Model Manipulation
- AI Ethics and Bias in Security Systems
- Large Language Model Security
- AI Regulatory Frameworks -- NIST AI RMF and the EU AI Act