Episode 50 — Use MITRE ATLAS Concepts for AI Threat Modeling and Adversary Behavior
This episode introduces MITRE ATLAS concepts as a structured way to think about adversary behavior against AI systems, because SecAI+ expects you to threat model AI like any other critical capability, with clear tactics, techniques, and mitigations that map to real controls. You will learn how AI threat modeling differs from traditional application threat modeling by including unique assets like training data, embeddings, model weights, prompt templates, and tool chains, while still relying on familiar fundamentals like trust boundaries, attacker capabilities, and impact analysis. We will walk through how ATLAS-style thinking helps you categorize attacks such as poisoning, evasion, prompt injection, extraction, and inference-based leakage, then connect each category to defensive moves like integrity checks, access controls, robust evaluation, monitoring, and safe design patterns for retrieval and tools. You will also practice applying these ideas to exam scenarios where the “best” answer is the one that most directly breaks the attacker’s path with minimal operational disruption. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
