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Exam Preparation

AAIA
Advanced in AI Audit™

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Course Overview

The Advanced in AI Audit™ (AAIA™) by ISACA is a globally recognized certification program designed for audit and assurance professionals seeking to evaluate the governance, risk, and operational integrity of AI systems across the enterprise.

This intensive course provides foundational knowledge and practical audit techniques across three key domains, covering AI governance and risk, AI operations,

Key Takeaways

1
Evaluate AI governance frameworks, risk ownership, and compliance alignment.
2
Assess the lifecycle of AI models and their associated data privacy risks.
3
Analyze AI operational threats, vulnerabilities, and change management controls.
4
Utilize AI audit tools to enhance assurance processes and outputs.
5
Demonstrate readiness for the AAIA exam through applied case learning.

Information Systems Audit and Control Association
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ISACA was incorporated in 1969 by a small group of individuals who recognized a need for a centralized source of information and guidance in the growing field of auditing controls for computer systems. Today, ISACA serves 140,000 professionals in 180 countries. As an independent, nonprofit, global association, ISACA engages in the development, adoption and use of globally accepted, industry-leading knowledge and practices for information systems. Previously known as the Information Systems Audit and Control Association, ISACA now goes by its acronym only, to reflect the broad range of IT governance professionals it serves.

Course Outline

Domain 1: AI Governance and Risk (33%)
Part A: AI Governance & Compliance

•Define AI governance structures and responsibilities

•Evaluate alignment with legal and ethical standards

•Review AI policies and compliance with regulations

•Assess monitoring through KPIs/KRIs

Part B: Risk, Privacy & Data Governance

•Identify and assess AI-specific risks

•Evaluate ownership of AI controls and decisions

•Review AI data inputs for privacy, bias, and quality

•Audit AI-related privacy and data governance programs

Domain 2: AI Operations (46%)
Part A: AI Lifecycle & Change Management

•Evaluate AI development and deployment processes

•Assess change and configuration management for AI

•Review supervision of AI system performance

•Examine workforce impact and awareness programs

Part B: Security & Incident Management

•Review threat and vulnerability management in AI

•Assess identity and access controls

•Evaluate incident and problem management specific to AI

•Audit third-party and vendor-related AI risks

Domain 3: AI Auditing Tools and Techniques (21%)
Part A: Audit Planning & Testing

•Define AI audit objectives and scope

•Apply testing and sampling methods for AI systems

•Collect and assess audit evidence

•Evaluate data quality in AI audit activities

Part B: Reporting & Insights

•Analyze audit results aligned with business objectives

•Apply analytics to AI audit data

•Develop clear audit findings and reports

•Ensure assurance over AI model outputs

Who Should Attend?

This highly practical and interactive course has been specifically designed for

IT and IS Auditors

 

 

Risk and Compliance Officers

Governance Professionals

Security and Assurance Managers

AAIA™ Exam Candidates

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