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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Available Languages:	English
Related Certifications:	CISM CISSP
Exam Duration:	150 minutes
Certificate Validity Period:	3 years
Exam Price:	US$459 (members), US$599 (non-members)
Exam Format:	Multiple-choice, Scenario-based
Passing Score:	450 (out of 800)
Real Exam Qty:	90
Recommended Training:	ISACA Official AAISM Training
Exam Registration:	ISACA AAISM Registration
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Computer-based; available at authorized PSI testing centers or via remote proctoring
Pre Condition:	Hold an active CISM or CISSP certification
Official Syllabus URL:	https://www.isaca.org/credentialing/aaism/aaism-exam-content-outline

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ISACA AAISM Exam Syllabus Topics:

Topic	Details
Topic 1	AI Governance and Program Management: This section of the exam measures the abilities of AI Security Governance Professionals and focuses on advising stakeholders in implementing AI security through governance frameworks, policy creation, data lifecycle management, program development, and incident response protocols.
Topic 2	AI Technologies and Controls: This section of the exam measures the expertise of AI Security Architects and assesses knowledge in designing secure AI architecture and controls. It addresses privacy, ethical, and trust concerns, data management controls, monitoring mechanisms, and security control implementation tailored to AI systems.
Topic 3	AI Risk Management: This section of the exam measures the skills of AI Risk Managers and covers assessing enterprise threats, vulnerabilities, and supply chain risk associated with AI adoption, including risk treatment plans and vendor oversight.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q96-Q101):

NEW QUESTION # 96
When deriving statistical information from AI systems, which source of risk is MOST important to address?

A. Presence of hallucinations
B. Systemic bias in data sets
C. Incomplete outputs
D. Lack of data normalization

Answer: B

Explanation:
AAISM emphasizes systemic or structural bias as a high-impact risk because biased data leads directly to discriminatory insights or decisions when used for analytics or reporting. This risk affects fairness, compliance, and organizational reputation.

NEW QUESTION # 97
A large financial services organization is integrating a third-party AI solution into its critical fraud detection system. Which of the following is the BEST way for the organization to reduce risk associated with AI vendor and supply chain dependencies?

A. Focusing on performance testing to ensure the solution meets operational requirements
B. Establishing contractual agreements requiring vendors to provide evidence of secure development practices
C. Implementing isolated virtual environments to validate the integration of the fraud detection system with the solution
D. Conducting annual vulnerability assessments of the fraud detection system after integration

Answer: B

Explanation:
AAISM emphasizes supplier assurance through contractual obligations as the foundational control for AI supply chain risk. Contracts should require verifiable evidence of secure development practices (e.g., secure SDLC, model and data provenance documentation, SBOM/MBOM where applicable, vulnerability disclosure, patch SLAs, audit rights, incident notification, and regulatory compliance assertions). This creates enforceable, continuous assurance beyond point-in-time tests.

NEW QUESTION # 98
A CISO has been tasked with providing key performance indicators (KPIs) on the organization's newly launched AI chatbot. Which of the following are the BEST metrics for the CISO to recommend?

A. Explainability and F1 score
B. Response time and throughput
C. Error rate and bias detection
D. Customer effort score and user retention rate

Answer: C

Explanation:
For executive security and governance reporting, AAISM prioritizes risk-and harm-oriented KPIs that reflect safety, reliability, and responsible behavior of AI systems. Error rate (safety/quality signal) and bias detection (fairness/compliance signal) provide leading indicators of model risk, potential user harm, and regulatory exposure--key interests for a CISO.

NEW QUESTION # 99
An e-commerce platform has been subjected to false product image submissions and reviews, as well as fake search and purchase histories. Which of the following is the information security team's BEST course of action in this situation?

A. Implement data monitoring tools to detect false data.
B. Review the pre-processing tools.
C. Block users who submitted the false information.
D. Verify data provenance.

Answer: D

Explanation:
Verifying data provenance is the best course of action because it helps confirm the origin, authenticity, and integrity of submitted images, reviews, and behavioral data. This directly addresses the risk of malicious or fabricated data contaminating the platform and influencing AI- driven recommendations or analytics.

NEW QUESTION # 100
A global organization experienced multiple incidents of staff pasting confidential data into public chatbots.
Which action is MOST important to reduce short-term risk?

A. Publish an AI acceptable use policy and collect signatures
B. Deliver role-based, scenario-driven AI security training mapped to job functions
C. Block access to public LLMs at the network perimeter
D. Require employees to complete an annual generic phishing and deepfake module

Answer: B

Explanation:
AAISM states that the most effective short-term mitigation for unintentional data leakage into public AI tools is targeted, role-based AI security awareness, focused on:
* what data cannot be entered
* consequences of leakage
* real-world scenarios employees face
An acceptable-use policy (C) is necessary but insufficient alone. Blocking LLMs (D) may reduce access but does not change user behavior and may cause shadow AI usage. Generic phishing training (B) does not address AI misuse risks.
References: AAISM Study Guide - AI Security Awareness; Human-Centric Data Leakage Prevention.

NEW QUESTION # 101
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