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ISACA Advanced in AI Audit

Updated On: 12-Sep-2026

ISACA
AAIA
ISACA Advanced in AI Audit
Certification Exam

Sections
1. AI Governance and Risk
2. AI Operations
3. AI Auditing Tools and Techniques

Exam Topics: 3

Total Questions: 556

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Contains the Following Exam Topics:
Exam Topic: 1. AI Governance and Risk
Exam Topic: AI Operations
Exam Topic: 3. AI Auditing Tools and Techniques

Overview of the ISACA Advanced in AI Audit Exam

The ISACA Advanced in AI Audit certification targets IT auditors, risk professionals, and compliance officers tasked with validating artificial intelligence governance. Candidates must evaluate machine learning lifecycles, neural network architectures, and natural language processing pipelines while applying the NIST AI Risk Management Framework and EU AI Act requirements. Mastery includes assessing algorithmic bias, data lineage, explainability techniques like SHAP or LIME, and adversarial robustness against prompt injection or model inversion attacks. Proficiency requires auditing MLOps integration, infrastructure scalability, and data privacy controls within cloud-based AI environments to ensure organizational adherence to ethical deployment standards and rigorous regulatory transparency mandates.



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