This course covers the full arc of AI risk management and security strategy. You’ll classify and populate AI risk registers using the NIST AI RMF, prioritize risks for treatment, quantify financial exposure using the FAIR methodology, apply STRIDE threat modeling to AI inference endpoints, and evaluate alignment between the AI security roadmap and corporate strategy.

Risk and Security Strategy

Risk and Security Strategy
This course is part of Microsoft Enterprise AI Governance, Ethics & Security Professional Certificate

Instructor: Microsoft
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What you'll learn
Apply the NIST AI RMF to classify and populate a risk register with data, model, and usage risks.
Analyze likelihood-impact scores to prioritize risks and evaluate residual risk after control deployment.
Apply FAIR methodology to quantify monetary exposure and analyze cyber-insurance gaps.
Apply STRIDE threat modeling to AI inference endpoints and evaluate alignment of the AI security roadmap.
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