AAIA Cheat Sheet 2025 | ISACA Advanced in AI Audit Study Guide

Exam Information

Format: 90 multiple-choice questions | Duration: 150 minutes (2.5 hours) | Passing Score: 56% (450/800 scaled)

Focus: Advanced AI auditing covering governance, risk, AI/ML operations, model monitoring, bias and security, and audit tools and techniques for AI systems.

Exam Domains

AI Governance and Risk 33%

AI governance frameworks, AI risk management programs, regulatory compliance (NIST AI RMF, ISO/IEC 42001, EU AI Act, NYC Local Law 144), third-party and supply chain AI risk, and audit planning for AI systems.

AI Operations — Lifecycle & MLOps 25%

AI/ML lifecycle stages, MLOps controls, data engineering and quality, feature stores, model development and training, validation, CI/CD for ML, deployment pipelines, model versioning, and reproducibility.

AI Operations — Monitoring, Bias & Security 21%

Production model monitoring, data and concept drift detection, bias and fairness assessment, explainability (XAI), AI security threats, adversarial ML, prompt injection, model integrity, and incident response for AI.

AI Auditing Tools and Techniques 21%

AI audit methodologies, evidence gathering, sampling and testing for AI controls, model documentation review (model cards, datasheets), continuous auditing, automated audit tooling, and AI audit reporting.

Key Topics Covered

🎯NIST AI RMF, ISO/IEC 42001, EU AI Act
🔄AI/ML lifecycle and MLOps governance
📊Model monitoring and drift detection
⚖️Bias, fairness, and explainability (XAI)
🛡️Adversarial ML and AI model security
📝AI audit techniques, model cards, datasheets
🔗Third-party AI risk and supply chain audit
🤖Continuous auditing and automated audit tooling

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