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ISACA Advanced in AI Security Management Questions 86–90 (page: 19)

Updated On: 13-Sep-2026

Which of the following is the MOST serious consequence of an AI system correctly guessing the personal information of individuals and drawing conclusions based on that information?

  1. The exposure of personal information may result in litigation.
  2. The exposure of personal information may lead to a decline in public trust.
  3. The publicly available output of the model may include false or defamatory statements about individuals.
  4. The output may reveal information about individuals or groups without their knowledge.

Answer(s): D

Explanation:

The most serious consequence is the unconsented disclosure of personal information, which violates privacy, can cause harm to individuals, and may result in legal, ethical, and reputational repercussions. This risk is particularly critical for AI systems that infer sensitive data from seemingly innocuous inputs.



Which of the following is the GREATEST risk inherent to implementing generative AI?

  1. Inadequate return on investment (ROI)
  2. Lack of employee training
  3. Potential intellectual property violations
  4. Unidentified asset vulnerabilities

Answer(s): C

Explanation:

Generative AI can inadvertently use copyrighted or proprietary content in outputs or training data, leading to intellectual property violations. This risk carries significant legal and financial consequences, making it one of the most critical inherent risks in generative AI implementation.



Which of the following is the MOST important course of action when implementing continuous monitoring and reporting for AI-based systems?

  1. Implement real-time monitoring of key risk indicators (KRIs) for AI systems.
  2. Implement a risk dashboard for visualizing and tracking AI-related risk over time.
  3. Develop standardized risk reporting templates for different stakeholder groups.
  4. Establish an automated alert system for threshold breaches in risk metrics.

Answer(s): A

Explanation:

Real-time monitoring of KRIs enables the organization to detect emerging risks, anomalous behaviors, or deviations from expected performance as they occur. This proactive approach ensures timely interventions, maintains AI system reliability, and supports effective governance and risk management.



An organization is updating its vendor arrangements to facilitate the safe adoption of AI technologies.
Which of the following would be the PRIMARY challenge in delivering this initiative?

  1. Failure to adequately assess AI risk
  2. Unwillingness of large AI companies to accept updated terms
  3. Insufficient legal team experience with AI
  4. Inability to sufficiently identify shadow AI within the organization

Answer(s): B

Explanation:

When updating vendor agreements for AI adoption, the greatest challenge is often negotiating terms with large AI providers, who may be reluctant to accept stricter risk, compliance, or governance requirements. This can impede the organization’s ability to enforce accountability, security, and ethical standards in vendor-supplied AI solutions.



Which of the following is the BEST reason to immediately disable an AI system?

  1. Overly detailed model outputs
  2. Excessive model drift
  3. Insufficient model training
  4. Slow model performance

Answer(s): B

Explanation:

Excessive model drift indicates that the AI system’s outputs are deviating significantly from expected behavior, which can lead to incorrect, unsafe, or unethical decisions. Disabling the system immediately prevents potential harm while the issue is investigated and corrected.



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