Microsoft

Risk and Security Strategy

Microsoft

Risk and Security Strategy

 Microsoft

Instructor: Microsoft

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

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.

Details to know

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Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

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Build your Security expertise

This course is part of the Microsoft Enterprise AI Governance, Ethics & Security Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Microsoft

There are 2 modules in this course

Lead on GenAI use in AI governance work rather than being surprised by it. This module gives CB3 governance professionals a working command of how generative AI tools accelerate risk register population, STRIDE threat enumeration, and alignment analysis, and the verification patterns that protect against hallucinations, confidentiality leakage, and audit trail gaps. You'll produce a portfolio-ready GenAI-assisted analysis with an annotated evaluation that demonstrates the human-in-the-loop oversight that makes GenAI use defensible at the governance level. Cross-platform applicability: This module teaches GenAI governance using Microsoft's enterprise AI stack (Azure OpenAI, Microsoft Purview, Azure AI Content Safety) because that is the credential's anchor ecosystem and where the enterprise data protection conversation lands most clearly for CB3 learners. Learners working in non-Microsoft environments can map the same concepts to equivalent enterprise stacks—AWS Bedrock + Macie + Guardrails, GCP Vertex AI + Sensitive Data Protection + Model Armor, or comparable—without losing the underlying skill. The Microsoft anchor is the canonical example; the governance pattern transfers.

What's included

2 videos2 readings2 assignments

Integrate everything you've built into a single executive-facing AI Risk and Security Strategy Report. You'll produce a portfolio-ready report for a new GenAI initiative that combines a populated risk register, prioritization analysis, a FAIR-quantified exposure scenario, a STRIDE threat model with ADR-documented mitigations, and a roadmap alignment commentary, the kind of integrated deliverable a CB3 AI governance leader is expected to produce ahead of an executive go/no-go decision.

What's included

1 video2 readings1 assignment

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Instructor

 Microsoft
404 Courses2,735,638 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.