AI Governance Practice Tests: NIST, ISO 42001, OWASP, ATLAS

About this course

Welcome to the AI Governance Practice Test Course — your comprehensive, scenario‑based preparation for understanding modern AI risks, controls, and mitigation strategies.

This course is designed for beginners, professionals, and career‑changers who want to build confidence in identifying AI vulnerabilities and applying the right governance controls across real‑world systems. Through multi‑framework practice tests, you’ll learn how to reason through risks using the world’s most important AI Governance standards.

You’ll work with questions aligned to NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS, and the MAESTRO Framework. Each question is crafted to reinforce not just what the risk is, but how to mitigate it — giving you practical, job‑ready intuition.

You’ll explore topics such as:

• AI risk identification and assessment
• LLM vulnerabilities, including prompt injection and hallucinations
• Agentic AI failure modes and cascading reasoning errors
• Governance controls, monitoring, and lifecycle management
• ISO 42001’s AI Management System requirements
• Adversarial tactics and attack chains from MITRE ATLAS
• Real‑world mitigations aligned with industry frameworks

Whether you’re preparing for an AI Governance role, strengthening your cybersecurity foundation, or simply wanting to understand how modern AI systems should be governed, this course gives you the structured practice you need.

By the end, you’ll be able to confidently analyze AI risks, select appropriate mitigations, and understand how leading frameworks guide safe and responsible AI development.*Note for U.S. Federal Contractors & Public Sector:

Under Executive Order (September 2026), U.S. federal executive departments and agencies are directed to use the term "Super Intelligence" (SI) instead of "Artificial Intelligence" (AI) in official correspondence and policy documents.

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