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ISACA Advanced in AI Audit Questions 171–175 (page: 36)

Updated On: 12-Sep-2026

When auditing AI systems, which data management practice BEST ensures compliance with privacy regulations?

  1. Increasing dataset size to improve model accuracy
  2. Implementing data minimization principles during data collection
  3. Using multiple data sources across different regions
  4. Retaining raw data indefinitely for future use

Answer(s): B

Explanation:

Data minimization ensures only necessary data is collected and processed, reducing exposure of personal information and aligning with privacy regulations and compliance requirements.



Which of the following should be done FIRST when an AI chatbot has been identified as giving harmful advice?

  1. Implement prompt sanitization filters.
  2. Segment user access based on risk profiles.
  3. Enable real-time auditing.
  4. Enable content output filters.

Answer(s): D

Explanation:

When harmful advice is already being generated, the immediate priority is to prevent further harmful outputs. Content output filters directly control and block unsafe responses in real time, reducing immediate risk to users.



An IS auditor is evaluating a large language model (LLM) before deployment.
Which of the following is the MOST secure way to manage agency for the model?

  1. Use LLMs to manage data feeds and sources.
  2. Ensure the LLM is trained on adversarial datasets.
  3. Ensure authorization and privilege checks are performed independently of the LLM.
  4. Rely on LLMs to automatically manage authorization and privilege checks.

Answer(s): C

Explanation:

Security-critical controls such as authorization and privilege enforcement should not rely on the LLM itself, as models can be manipulated or behave unpredictably. Independent enforcement ensures robust and reliable access control.



A financial institution's customer service chatbot sometimes gives users incorrect legal advice, leading to several customer complaints and potential regulatory exposure.
Which of the following should be done FIRST to mitigate this risk?

  1. Review chatbot technical documentation.
  2. Expand the chatbot’s training dataset.
  3. Retrain the chatbot on a more diverse dataset.
  4. Introduce a human-in-the-loop review process.

Answer(s): D

Explanation:

Introducing human oversight immediately reduces the risk of harmful or noncompliant advice by ensuring responses are reviewed before reaching users, providing a rapid control while longer-term improvements are developed.



Which of the following would be the BEST recommendation for an organization that has adopted vibe coding?

  1. Prompt the AI to review its own code.
  2. Build the organization's own cryptography.
  3. Discontinue the current practice.
  4. Adopt a security checklist for code review.

Answer(s): D

Explanation:

Introducing a structured security checklist ensures consistent and systematic review of AI-generated code, helping identify vulnerabilities and enforce secure coding practices.



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