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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | - AI development, deployment, and monitoring risks - AI model and data risk identification - AI bias, drift, transparency, and control evaluation | |
| Topic 2: AI Risk Program Management | 42% | - AI risk monitoring and continuous improvement - Enterprise AI risk program design - AI governance communication and reporting - AI risk assessment and treatment strategies |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability - AI Organizational Processes and Alignment |
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NEW QUESTION # 159
A risk practitioner is reviewing an organization's implementation of a business-critical AI decision system.
Which of the following would be of GREATEST concern?
Answer: C
Explanation:
Business-critical AI decision systems require comprehensive testing of failure modes and recovery procedures before deployment. For systems making consequential decisions, untested failure scenarios create significant operational, financial, and reputational risks when failures occur in production.
Why C is Correct: The ISACA AAIR testing and validation guidance identifies insufficient scenario-based failure mode testing as the greatest concern for business-critical AI. Without testing how the system behaves when it fails-what recovery procedures activate, how human oversight is engaged, how data integrity is maintained during failures-organizations cannot be confident the system can be safely operated through failures. For critical systems, untested failure scenarios represent unacceptable operational risk.
Why A is Wrong: Conventional security providers may require AI-specific expertise supplements but represent an operational security management concern rather than the greatest risk to system reliability and safety. Security monitoring can be supplemented without fundamentally threatening critical system operations.
Why B is Wrong: Cross-functional incident training gaps are a significant organizational preparedness concern but represent a human capability gap that can be addressed through training programs. The system design risk of untested failure modes is more fundamental.
Why D is Wrong: Not requiring 100% decision accuracy is appropriate risk tolerance calibration-no AI system achieves perfect accuracy, and setting realistic thresholds is a sign of mature risk governance. This reflects sound risk acceptance practice rather than a governance concern.
NEW QUESTION # 160
Which of the following BEST enables an organization to comply with regulations on the use of biometric data by its AI models?
Answer: D
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. Biometric compliance requires governance over purpose, consent, access, retention, and authorized use. Liveness detection and vulnerability scanning improve security, but purpose-based governance is what prevents sensitive biometric data from being repurposed beyond approved uses. This makes option D, Implementing strong governance to ensure biometric data is used only for its intended purposes, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 161
Which of the following is the BEST approach when using AI-driven security ratings to monitor third-party risk?
Answer: D
Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Third-party security ratings are useful only when they support business and compliance decisions.
Mapping rating metrics to strategic objectives and obligations turns technical measures into meaningful risk information instead of isolated performance or availability indicators. This makes option C, Map risk metrics to strategic objectives and compliance obligations, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk- management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 162
Which of the following BEST helps to ensure an AI system ' s potential human rights harms are managed?
Answer: D
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. Potential human-rights harms are best managed through recurring stakeholder engagement in risk treatment because affected people may reveal impacts that technical metrics or internal policy mapping miss. Ongoing participation supports identification, escalation, and remediation of evolving harms. This makes option C, Engaging stakeholders in recurring risk treatment processes, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 163
A business unit must implement and start using an AI system immediately and cannot follow the usual approval process. Which of the following is the BEST course of action?
Answer: D
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. An urgent need does not justify bypassing governance without authorization. A formal exception approved by the risk owner preserves accountability and ensures the deviation, conditions, and residual risk are documented and accepted by the proper authority. This makes option C, Obtain approval from the risk owner for an exception to the policy, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 164
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