ISACA AAIR Exam Information and Actual Questions

  • Exam Code/Number: AAIR
  • Exam Name/Title: ISACA Advanced in AI Risk
  • Certification Provider: ISACA
  • Corresponding Certification: AI Risk
  • Exam Questions: 92
  • Updated On: Jun 20, 2026

AAIR
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AAIR Exam
ISACA Advanced in AI Risk

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ISACA AAIR Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Risk
Exam Number:AAIR
Passing Score:450 (Scaled score range: 200–800)
Exam Price:USD 575 (ISACA Member), USD 760 (Non-Member)
Exam Duration:150 minutes
Related Certifications:CISA
CISM
CRISC
CGEIT
CDPSE
AAIA
AAISM
Real Exam Qty:90–92
Available Languages:English
Certificate Validity Period:3 years (Requires CPE maintenance)
Exam Format:Multiple Choice Questions
Sample Questions:ISACA AAIR Sample Questions
Exam Way:Online remote proctored exam / In-person testing center exam
Pre Condition:Candidates must hold an active qualifying credential: ISACA CISA / CISM / CRISC / CGEIT / CDPSE; or approved external credentials including CRMP, CRMA, CGRC, CISSP etc.
Official Syllabus URL:https://www.isaca.org/aair

ISACA AAIR Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Risk Governance and Framework Integration37%- Enterprise AI Governance Structures
  • 1. AI ethics, regulations and industry standards
  • 2. AI governance roles, policies and oversight
- AI Model and Technology Evaluation
  • 1. AI use case risk appetite alignment
  • 2. AI model types, algorithms and lifecycle
- Data and Privacy Risk Governance
  • 1. Privacy control implementation for AI systems
  • 2. AI data governance frameworks
Topic 2: AI Risk Program Management42%- Enterprise AI Risk Program Design
  • 1. AI risk identification and assessment workflows
  • 2. AI risk response and control strategy development
- AI Risk Reporting and Stakeholder Communication
  • 1. Third-party AI vendor risk oversight
  • 2. AI risk dashboards and executive reporting
- AI Risk Tooling and Continuous Improvement
  • 1. AI risk program maturity optimization
  • 2. AI-enabled risk management tools
Topic 3: AI Life Cycle Risk Management21%- Pre-Deployment AI Risk Assessment
  • 1. Model bias, drift and performance risks
  • 2. AI vulnerability and threat identification
- In-Operation AI Risk Monitoring
  • 1. AI incident response and mitigation
  • 2. Continuous AI risk tracking metrics
- AI Retirement and Disposal Risk Controls
  • 1. Model decommissioning data safeguards
  • 2. Post-retirement residual risk management


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