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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Response and Mitigation - AI Risk Identification and Assessment - AI Risk Monitoring and Reporting |
| Topic 2: AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Regulatory Compliance and Legal Considerations - AI Trustworthiness, Ethical and Societal Implications - AI Policies, Procedures, and Organizational Training |
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NEW QUESTION # 94
Which of the following should be the PRIMARY consideration when developing AI risk awareness training?
Answer: A
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 awareness training must remain current because threats, attack techniques, model capabilities, and regulatory expectations evolve rapidly. Static training quickly becomes obsolete, so content should be refreshed to reflect emerging AI-specific risks and attack patterns. This makes option B, Ensuring contents are regularly updated to reflect new AI threats, 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 # 95
Which of the following is the risk practitioner ' s FIRST course of action upon learning that an AI model has been providing responses that are outside predefined thresholds for accuracy?
Answer: A
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. A breach of a predefined accuracy threshold is a governance event, so the first action is to notify the designated AI governance owner with decision authority. Technical investigation and risk-register updates can follow once the accountable owner has been informed. This makes option C, Notify designated AI governance owners for decision making, 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 # 96
Which of the following is the MOST effective way to gain insight into an organization ' s exposure to AI- powered threats?
Answer: A
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. Continuous monitoring and behavioral analytics provide the broadest insight into AI-powered threats by detecting anomalies and evolving patterns that may not match known signatures. Static diagrams and signature-only detection are less effective against adaptive attacks. This makes option B, Implement continuous monitoring and behavior analytics, 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 # 97
Which of the following information is MOST important to add to an organizational business continuity plan (BCP) when adopting a customer-facing AI solution?
Answer: D
Explanation:
Business continuity planning for customer-facing AI solutions must ensure service availability and resilience under failure conditions. The BCP must specify the technical and operational mechanisms that maintain service continuity when primary systems are disrupted.
Why B is Correct: The ISACA AAIR business continuity guidance identifies secure access to alternate resources, multi-region failover, and load balancing as the most important additions to a BCP for customer- facing AI. These mechanisms ensure that service disruptions-whether from technical failures, cyber incidents, or regional outages-do not result in total unavailability. For customer-facing solutions, maintaining service continuity directly affects customer trust, revenue, and regulatory compliance with service availability obligations.
Why A is Wrong: Post-incident audits of recovery times and accuracy metrics are monitoring activities that occur after incidents. While valuable for improvement planning, they do not define the recovery mechanisms that the BCP must specify to ensure continuity during disruptions.
Why C is Wrong: Centralizing failover under a single cloud provider creates a concentration risk-if that provider experiences an outage, all failover mechanisms fail simultaneously. Good BCP design requires geographic and provider diversification, not concentration.
Why D is Wrong: Breach containment criteria address security incident response, not service continuity.
While related to incident management, breach response procedures are typically documented in the incident response plan rather than the BCP, which focuses on maintaining or restoring business operations.
NEW QUESTION # 98
Which of the following BEST mitigates risk associated with evasion attacks on AI models?
Answer: A
Explanation:
Evasion attacks involve adversaries crafting inputs specifically designed to fool AI models into producing incorrect outputs-for example, manipulating images to evade object detection or modifying text to bypass content classifiers. Detecting these attacks requires identifying inputs that are statistically unusual or inconsistent with legitimate use patterns.
Why B is Correct: The ISACA AAIR adversarial AI security guidance identifies anomaly detection as the most effective mitigation for evasion attacks. Anomaly detection systems monitor input distributions, model query patterns, and output characteristics for statistical deviations that indicate adversarial manipulation. By identifying inputs that fall outside expected distributions or trigger unusual model responses, anomaly detection catches evasion attempts before they produce harmful outputs.
Why A is Wrong: API rate limiting controls query frequency to prevent brute-force model probing but does not detect or prevent crafted adversarial inputs sent at normal rates. An attacker can evade rate limits by spacing requests or distributing queries.
Why C is Wrong: Predictive analytics uses historical patterns to forecast future outcomes. It does not specifically detect real-time adversarial manipulation of model inputs.
Why D is Wrong: Feature importance weighting adjusts how much different input features influence model predictions. While it can improve robustness to irrelevant features, it does not detect adversarial inputs specifically crafted to exploit important features.
NEW QUESTION # 99
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