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| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - Enterprise AI risk program design - AI risk assessment and treatment strategies - AI governance communication and reporting - AI risk monitoring and continuous improvement |
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases |
| AI Life Cycle Risk Management | - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks - AI model and data risk identification |
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NEW QUESTION # 156
Which of the following is the PRIMARY reason to include contractual requirements for model updates and disclosures from third-party AI suppliers?
Answer: A
Explanation:
Third-party AI suppliers introduce significant risk through model updates, changes in training data, and modifications to system behavior. Contractual disclosure requirements ensure the acquiring organization can maintain active risk oversight despite not controlling the vendor's development processes.
Why B is Correct: The ISACA AAIR framework emphasizes that third-party AI contracts must protect against harms arising from undisclosed changes. When vendors make silent updates to models, the acquiring organization cannot assess new risks before they affect users, decisions, or regulated outcomes. Timely disclosure requirements enable proactive risk detection and mitigation before individuals are harmed.
Why A is Wrong: Availability guarantees are service-level concerns addressed by SLA provisions. While important operationally, they do not address the risk management imperative of understanding what changes have been made to AI models.
Why C is Wrong: Internal trust-building is a change management consideration, not the primary purpose of contractual disclosure requirements. Contracts address risk obligations, not organizational confidence.
Why D is Wrong: Vendor staff access to sensitive datasets is a data access and privacy concern addressed through data processing agreements and access controls, not model update disclosure requirements.
NEW QUESTION # 157
Which of the following metrics BEST indicates false positives in an AI model output?
Answer: A
Explanation:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems. Precision is directly affected by false positives because it measures the proportion of predicted positives that are actually positive. Recall is more sensitive to false negatives, F1 combines both dimensions, and overall accuracy can hide a high false-positive rate. This makes option A, Precision, 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 # 158
Which of the following approaches is MOST effective for embedding management of AI risk into existing organizational processes and decision-making?
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. AI risk is best embedded by integrating governance checkpoints into established project, change, and risk-review cycles. This ensures AI considerations are part of normal decision-making instead of being handled by a parallel process that can become isolated from business governance. This makes option B, Integrate AI governance into established project and risk review cycles, 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 # 159
Which of the following should be the PRIMARY consideration when determining the priority for restoration of AI systems following a model exfiltration attack?
Answer: B
Explanation:
Following a model exfiltration attack, multiple AI systems may require restoration. Prioritization must be based on objective criteria that reflect the potential business impact of continued unavailability. Systems supporting critical business functions must be restored before those supporting non-critical functions.
Why A is Correct: According to ISACA AAIR business continuity guidance for AI, the primary criterion for restoration priority is the AI system's criticality to business requirements. Systems that support mission- critical functions-patient care, financial transaction processing, safety operations-represent the highest restoration priority because their unavailability causes the greatest operational harm. This risk-based prioritization framework is consistent with standard business continuity management principles applied to the AI context.
Why B is Wrong: Team member expertise affects restoration capacity and speed but should not drive prioritization decisions. Priority is determined by business impact, not by where the team has the most technical capability. Resource allocation follows priority, not the reverse.
Why C is Wrong: Vulnerability testing and patch costs are operational considerations that may influence restoration timelines but should not override business criticality in determining priority. Cost-based prioritization could lead to restoring cheaper but less critical systems first.
Why D is Wrong: Dataset availability affects the feasibility and timeline of model retraining but is a logistical consideration rather than the primary basis for restoration priority. Critical systems should be prioritized even if their restoration is technically more complex.
NEW QUESTION # 160
Which of the following is the PRIMARY benefit of incorporating new AI-specific controls?
Answer: B
Explanation:
AI systems introduce new categories of risk-model drift, adversarial attacks, algorithmic bias, hallucination-that conventional IT controls were not designed to address. AI-specific controls must complement existing controls to create comprehensive coverage across both traditional and emerging risk domains.
Why C is Correct: The ISACA AAIR curriculum identifies the holistic, comprehensive coverage of both conventional governance exposures and emerging AI vulnerabilities as the primary benefit of AI-specific controls. By designing controls that address AI-unique risks while integrating with existing governance structures, organizations achieve end-to-end risk management without creating coverage gaps between the old and new control environments.
Why A is Wrong: Compliance reporting prioritization is a governance administration activity. While AI- specific controls may clarify compliance requirements, identifying and prioritizing reporting requirements is not the primary purpose of implementing new controls.
Why B is Wrong: Cost reduction through control consolidation is an efficiency benefit that may result from control rationalization but is not the primary benefit of incorporating AI-specific controls. Adding necessary controls may actually increase costs in the short term.
Why D is Wrong: Accelerating deployment through efficient pre-deployment analysis is an operational efficiency benefit. The primary governance purpose of AI-specific controls is comprehensive risk coverage, not deployment speed.
NEW QUESTION # 161
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