Why it matters
Microsoft distills an ontology, eight lessons, and five case studies from red teaming more than 100 generative AI products. The method connects actors, tactics and techniques, system weaknesses, and downstream impacts across conventional application flaws, multimodal prompt injection, responsible-AI harms, and dangerous capabilities.
My takeaway: Structure each operation around a realistic harm and record the actor, technique, weakness, and impact instead of collecting disconnected prompts. Test conventional application security alongside model-specific failures, use tools such as PyRIT to scale repeatable probes, keep domain experts in the loop, and run break-fix cycles that measure whether mitigations actually prevent the demonstrated path.