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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability |
| AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk monitoring and continuous improvement - AI governance communication and reporting - AI risk assessment and treatment strategies |
| AI Life Cycle Risk Management | - AI development, deployment, and monitoring risks - AI bias, drift, transparency, and control evaluation - AI model and data risk identification |
ISACA Advanced in AI Risk Sample Questions:
1. Which AI security by design option BEST mitigates targeted model poisoning and supply chain tampering?
A) Use data tokenization for sensitive fields
B) Frequent data refreshes with checksums
C) Frequent model retraining and bias monitoring
D) Adversarial resilience and data integrity controls
2. An organization has deployed generative AI tools broadly but lacks a consistent method to refresh governance policies and controls. Which of the following is the risk practitioner's BEST recommendation?
A) Establish an ongoing review cadence and codify procedures for reassessment.
B) Implement systematic updates and emphasize alignment with emerging regulatory expectations.
C) Centralize decision making and concentrate authority within executive leadership and technical owners.
D) Schedule annual compliance reviews and integrate audit findings into revision planning.
3. A risk practitioner is developing risk scenarios related to successful data poisoning attacks on an AI model used across the organization. Which of the following is the BEST approach to help ensure the scenarios are relevant?
A) Perform adversarial testing in a sandbox environment.
B) Create comprehensive data flow diagrams.
C) Gather information on similar attacks impacting industry peers
D) Engage key stakeholders in risk scenario development.
4. An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
A) The transparency and explainability of AI model decisions is enhanced for all stakeholder groups.
B) Return on investment (ROI) for new AI services can be evaluated more accurately.
C) Ethical principles can be added to AI development and usage after deployment.
D) Executive support for technical training and upskilling related to AI can be more effectively obtained.
5. Risk practitioners use automated tools to generate potential AI risk scenarios. Which of the following represents the GREATEST risk from that approach?
A) Scenarios may not account for all process interdependencies.
B) Impacts from model changes may be underestimated.
C) Likelihood and impact scoring may be more complex.
D) Emerging adversarial attack vectors may be overlooked.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: A |






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