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ISACA AAIA Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Audit
Exam Number:	AAIA
Related Certifications:	CPA FCCA CISA ACCA CIA
Exam Format:	Multiple-choice questions, Computer-based testing, Scenario-based questions
Passing Score:	450 (scaled, range 200–800)
Exam Price:	US$459 (member) / US$599 (non-member)
Exam Duration:	150 minutes
Real Exam Qty:	90
Certificate Validity Period:	3 years
Available Languages:	Spanish, Chinese, English
Recommended Training:	AAIA Official Review Course AAIA Review Manual
Exam Registration:	ISACA Official Registration
Sample Questions:	ISACA AAIA Sample Questions
Exam Way:	Computer-based; PSI test centers or remote proctored (remote not available in India, Mainland China, Hong Kong)
Pre Condition:	Hold active CISA, CIA, CPA, ACCA, FCCA or equivalent qualified certification with IT audit/advisory focus
Official Syllabus URL:	https://www.isaca.org/credentialing/aaia/aaia-exam-content-outline

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ISACA AAIA Exam Syllabus Topics:

Topic	Details
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	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 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.

ISACA Advanced in AI Audit Sample Questions (Q61-Q66):

NEW QUESTION # 61
Which of the following is the MOST effective control to safeguard a model's architecture, weights, and hyperparameters?

A. Require users to sign a confidentiality agreement before accessing the model
B. Implement strict access controls and encryption for model components
C. Provide training to employees on best practices for AI technical security
D. Maintain detailed data audit logs of deviations in training data

Answer: B

Explanation:
The most effective way to protect proprietary AI model components-architecture, weights, hyperparameters-is throughstrict access controls and encryption(option D).
AAIA identifies model theft and reverse engineering as high-severity security risks, especially for organizations whose competitive advantage relies on intellectual property embedded in AI models.
Proper controls include:
* Role-based access control (RBAC)
* Encryption at rest and in transit
* Model-level access segregation
* Hardware security modules (HSMs)
* Zero-trust access principles
Training (A) increases awareness but does not enforce protection.
Confidentiality agreements (B) are legally binding but do not stop technical intrusions.
Audit logs (C) track training data but do not secure the model itself.
Thus, encryption and access control provide the strongest protection.
References:
AAIA Domain 2: AI Security and Intellectual Property Protection
AAIA Domain 1: Access Control and Safeguards

NEW QUESTION # 62
What is the PRIMARY purpose of establishing AI-specific key risk indicators (KRIs), such as drift thresholds or fairness metric thresholds?

A. To provide early, measurable warning signals that trigger investigation or remediation before harm occurs
B. To eliminate the need for human oversight
C. To satisfy marketing requirements
D. To reduce the cost of cloud computing

Answer: A

Explanation:
KRIs translate abstract risks (like drift or bias) into measurable thresholds that trigger proactive action, enabling risk management before issues escalate into incidents.

NEW QUESTION # 63
A financial institution's credit-scoring model shows high accuracy overall but performs poorly for a specific demographic subgroup. What should the auditor recommend FIRST?

A. Increase the overall accuracy threshold
B. Immediately decommission the model
C. Investigate whether the training data underrepresents that subgroup and reassess fairness metrics
D. Add more features to the model

Answer: C

Explanation:
Subgroup underperformance often stems from underrepresentation in training data. Root-cause analysis should precede any remediation decision such as retraining or decommissioning.

NEW QUESTION # 64
Which of the following controls MOST effectively helps to ensure an AI model is resilient against external threats?

A. Monitoring of AI access logs
B. AI data set anonymization
C. AI model configuration testing
D. Monitoring of AI model developers

Answer: C

NEW QUESTION # 65
An IS auditor uses an AI model to summarize worksheets, but several worksheets contained a " Hidden Cell " instructing the model to ignore control failures. Which solution BEST mitigates the risk?

A. Convert files to PDF before uploading to the AI model.
B. Ensure read-only mode with track changes is enabled.
C. Allow extraction only to predefined values and headers in the worksheets.
D. Instruct the model to ignore instructions in data and set high temperature.

Answer: C

Explanation:
This is a " Data-based Prompt Injection, " where the AI treats data as instructions. By " Allowing extraction only to predefined values and headers, " the auditor restricts the AI ' s " Context Window " to specific, known data fields. This prevents the AI from " reading " and executing malicious commands hidden in other cells.
High temperature (Option A) would only make the model more likely to follow erratic instructions.
Converting to PDF (Option D) is ineffective because modern AI models can still read the hidden text layers within a PDF.

NEW QUESTION # 66
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