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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.
Topic 2
  • AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.
Topic 3
  • Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.

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ISACA Advanced in AI Audit Sample Questions (Q151-Q156):

NEW QUESTION # 151
An IS auditor is reviewing change documentation of an AI model. Which of the following would pose the GREATEST risk?

Answer: A

Explanation:
A low number of test scenarios (C) indicates insufficient testing coverage, creating a high likelihood that errors, biases, or edge-case failures remain undetected. AI systems require broad, diverse scenario testing, including fairness, robustness, and stress testing. AAIA highlights comprehensive testing as essential to AI reliability and risk mitigation.


NEW QUESTION # 152
Which of the following should be an IS auditor's GREATEST concern when using a predictive AI tool to analyze data abnormalities?

Answer: D

Explanation:
For a predictive AI tool analyzing abnormalities, the GREATEST concern is the rate and impact of false positives and false negatives (A). False positives can lead to unnecessary investigation, while false negatives mean true issues (e.g., fraud, control failures) remain undetected. From an assurance perspective, false negatives are especially critical because they directly undermine audit objectives. AAIA underscores that key performance metrics (e.g., precision, recall) and error trade-offs are essential in evaluating AI tools used in audit.


NEW QUESTION # 153
Which of the following is the MOST important AI data governance method to protect privacy and data security?

Answer: C

Explanation:
Periodic monitoring is the MOST critical governance mechanism for protecting privacy and data security in AI systems, especially those handling sensitive or personal data. ISACA's AAIA guidance emphasizes that data governance must be continuous because AI systems evolve, data drifts, risk exposures shift, and privacy threats increase over time.
Periodic monitoring ensures:
* Detection of unauthorized access
* Identification of anomalous data use
* Confirmation that privacy controls remain effective
* Early detection of data misclassification or leakage
* Verification of compliance with retention, deletion, and minimization requirements Options A and C do not protect privacy. Acceptable use policies (B) provide guidelines but do not enforce ongoing protection. Continuous monitoring is the operational safeguard that enforces privacy and security controls at all times.
References:
AAIA Domain 1: Data Governance Controls
AAIA Domain 5: Privacy and Data Protection Monitoring


NEW QUESTION # 154
During a walk-through, an IS auditor observes an AI engineer entering a prompt that manipulates the AI model's behavior. Which of the following is the BEST control to prevent this?

Answer: C

Explanation:
The most direct and effective control for preventing prompt-based manipulation is to enforce a structured input/output template (option A). AAIA highlights prompt management as a key emerging control area because unstructured prompts can lead to:
Prompt injection
Model manipulation
Circumvention of rules
Unauthorized access to sensitive outputs
Safety violations
Templates constrain user input to predefined formats, reducing opportunities to embed hidden instructions or modify model behavior.


NEW QUESTION # 155
Which of the following is an IS auditor's MOST important course of action when determining whether source data should be entered into approved generative AI tools to assist with an audit?

Answer: C


NEW QUESTION # 156
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