How does Microsoft AI Red Team approach LLM testing?

Microsoft AI Red Team (founded 2018) methodology: (1) Threat modelling — STRIDE-like analysis for AI systems. (2) Adversarial probing — manual + automated attacks across responsible AI dimensions (security, safety, fairness, privacy). (3) Use of PyRIT (Python Risk Identification Tool) — open-source AI red team automation. (4) Cross-disciplinary teams — security engineers + ML researchers + policy experts. (5) Iterative — findings feed back to product teams; re-test after fixes. Their public learnings: 'AI red teaming is different from traditional pen-testing — focus on context-specific harms (bias, manipulation, factuality) not just confidentiality/integrity/availability'. PyRIT and their lessons-learned blog are critical reading for interview prep.