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Exam Information
Official specifications published by ISACA
Exam Format
150 min
90
450
Advanced
Registration
PSI Testing Centers or online proctoring
English, Simplified Chinese, Spanish
Validity
Continuous with CPE requirements
Complete annual CPE requirements; Maintain prerequisite certification (CISA, CIA, or CPA); Adhere to ISACA Code of Professional Ethics
AAIA Exam Topics and Domains
AAIA is organized into 3 weighted domains.
1
AI Governance and Risk
33%
AI Models, Considerations, and Requirements
AI Model Types and ApplicationsBusiness Requirements for AI Solutions
- Evaluate system/business requirements for AI solutions to ensure alignment with enterprise architecture
- Evaluate AI solutions to advise on impact, opportunities, and risk to organization
AI Governance and Program Management
AI Governance FrameworkAI Program Management
- Evaluate the organization's AI policies and procedures, including compliance with legal and regulatory requirements
- Evaluate whether the organization has defined ownership of AI-related risk, controls, procedures, decisions, and standards
AI Risk Management
AI-Specific Risk AssessmentControl Design and Implementation
- Evaluate the design and effectiveness of controls specific to AI
- Evaluate the role and impact of AI decision-making systems on the organization and stakeholders
Privacy and Data Governance Programs
Data Privacy in AIData Governance for AI
- Evaluate the organization's data governance program specific to AI
- Evaluate the organization's privacy program specific to AI
Leading Practices, Ethics, Regulations, and Standards for AI
AI Ethics and Responsible AIRegulatory Compliance and Standards
- Evaluate the organization's compliance with AI-related legal and regulatory requirements
- Analyze the impact of AI on the workforce to advise stakeholders
2
AI Operations
46%
Data Management Specific to AI
Training Data ManagementData Pipeline Management
- Evaluate data input requirements for AI models
- Assess data appropriateness, bias, and privacy concerns
AI Solution Development Methodologies and Lifecycle
AI Development LifecycleMLOps and Model Management
- Evaluate the AI solution lifecycle for compliance and risk
- Evaluate algorithms and models for business alignment
Change Management Specific to AI
AI Change ControlConfiguration Management
- Evaluate the organization's change management program specific to AI
- Evaluate the organization's configuration management program specific to AI
Supervision of AI Solutions
AI Output MonitoringHuman Oversight
- Evaluate supervision mechanisms for AI solutions
- Assess impact of AI decisions on stakeholders
Testing Techniques for AI Solutions
AI Testing MethodologiesModel Validation
- Evaluate testing techniques specific to AI solutions
- Assess validation methodologies and results
Threats and Vulnerabilities Specific to AI
AI Security ThreatsVulnerability Management
- Evaluate threat and vulnerability management programs specific to AI
- Assess security controls and countermeasures
Incident Response Management Specific to AI
AI Incident ManagementProblem Management
- Evaluate problem and incident management programs specific to AI
- Assess response and recovery capabilities
3
AI Auditing Tools and Techniques
21%
Audit Planning and Design
AI Audit PlanningAI-Enhanced Audit Design
- Utilize AI solutions to enhance audit processes
- Evaluate impacts and opportunities when integrating AI in audit
Audit Testing and Sampling Methodologies
AI-Driven SamplingTesting Procedures
- Apply appropriate testing and sampling methodologies
- Leverage AI for improved testing efficiency
Audit Evidence Collection Techniques
Digital Evidence CollectionAI-Specific Evidence
- Collect and evaluate audit evidence for AI systems
- Document findings appropriately
Audit Data Quality and Data Analytics
Data Quality AssessmentAdvanced Analytics
- Assess data quality for audit purposes
- Apply data analytics in audit procedures
AI Audit Outputs and Reports
Audit ReportingAI-Enhanced Reporting
- Produce effective audit reports for AI systems
- Leverage AI for enhanced reporting capabilities
How do I earn this certification?
Passing AAIA earns the Advanced in AI Audit (AAIA) certification. It sits in the AI Audit Specialization track.
Alternative Paths
- CGEIT - Certified in the Governance of Enterprise ITAI governance expertise
- CISM - Certified Information Security ManagerAI security management
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for AAIA.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2025-06-01
- Announcement date: 2025-05-19
Updates
- Generative AI Heavy emphasis on GenAI risks and controls
- MLOps Domain 2 includes ML lifecycle management
- AI Governance Frameworks 33% of exam content
Who should take this exam?
Type: certification; Options: CISA • CIA • CPA • ACCA or FCCA • Canadian CPA • Australian CPA or FCPA • Japanese CPA
- Experience in IT audit or advisory roles
- Knowledge of AI technologies and implementations
- Understanding of risk management and governance
- Familiarity with data governance and privacy regulations