Risk and Security Strategy

О курсе

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. Familiarity with cybersecurity risk concepts and organizational strategy frameworks is recommended. By the end of this course, you'll be able to build and manage a complete AI risk register, estimate annualized loss expectancy for AI scenarios, document threat mitigations in architecture decision records, and identify gaps between your security roadmap and organizational strategy. This course is designed for security managers, risk analysts, and AI governance leads who are responsible for assessing and treating AI-specific risks and who are comfortable with cybersecurity risk concepts and organizational strategy frameworks.

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Microsoft

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