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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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.

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ISACA Advanced in AI Audit Sample Questions (Q78-Q83):

NEW QUESTION # 78
Which of the following is the GREATEST risk when a generative AI tool used for threat detection produces inaccurate or misleading information?

Answer: D

Explanation:
In the context of cybersecurity and threat detection, the "accuracy" of AI outputs is a matter of organizational safety. The greatest risk of inaccurate information (such as false negatives) is that
"Potential threats may be overlooked," leading to undetected breaches or system compromises.
This occurs when the model fails to flag a genuine anomaly as suspicious.


NEW QUESTION # 79
From an audit perspective, which of the following BEST supports the objectives of an AI governance program?

Answer: A

Explanation:
While roles (Option A), committees (Option B), and registers (Option C) are essential organizational components, the " AI Policies " themselves are the most comprehensive support for governance objectives.
Policies provide the " enforceable standards " for how AI must be built and managed. Specifically, policies addressing interpretability, transparency, and resiliency ensure that the organization's AI systems are auditable, fair, and stable. According to ISACA, the governance program must be rooted in these technical and ethical pillars to provide the necessary guardrails for AI development. Policies act as the " Source of Truth " that guides committees and stakeholders in their decision-making processes.


NEW QUESTION # 80
Which of the following is the GREATEST risk associated with using AI in audit planning?

Answer: B


NEW QUESTION # 81
Which of the following is the GREATEST risk when an organization uses publicly available social media data to train its AI model without obtaining explicit user consent?

Answer: A

Explanation:
Using social media data without consent raises severe legal and ethical concerns. According to the AAIATM manual, the greatest risk is the "Violation of data privacy regulations" (such as GDPR or CCPA), which can result in significant legal penalties, mandatory deletion of models, and litigation. Even if the data is "public," privacy laws often restrict the use of personal information for automated decision-making or profiling without a clear legal basis (like consent).


NEW QUESTION # 82
Which of the following is the MOST effective control to prevent data poisoning attacks during model training?

Answer: A

Explanation:
Data poisoning involves injecting malicious or mislabeled data into the training set. Provenance verification and data validation pipelines reduce the likelihood of compromised data reaching the model.


NEW QUESTION # 83
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