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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Certificate Validity Period:	3 years
Exam Price:	USD $399
Related Certifications:	ISACA Advanced in AI Security Management (AAISM)
Real Exam Qty:	90
Available Languages:	Spanish, English
Passing Score:	450/800
Exam Duration:	150 minutes
Exam Format:	Scenario-based Questions, Multiple Choice
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Online remote proctored exam or test center exam
Pre Condition:	Candidates must 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 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 2	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.
Topic 3	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.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q157-Q162):

NEW QUESTION # 157
Which of the following BEST enables an organization to minimize risk from shadow AI?

A. Prohibiting the use of shadow AI and establishing penalties for noncompliance
B. Implementing a robust framework for AI performance evaluation
C. Prohibiting the use of any type of AI in the organization
D. Implementing detective controls and training employees on the use of AI

Answer: D

Explanation:
Detective controls provide visibility into unauthorized AI usage, while employee training promotes awareness and responsible behavior. Together, they address both detection and prevention, making them the most effective approach to minimizing risks associated with shadow AI.

NEW QUESTION # 158
Which of the following should be included in an AI acceptable use policy?

A. Data collection and storage processes
B. AI training data requirements
C. Ethical and legal compliance standards
D. AI monitoring requirements

Answer: C

Explanation:
An AI acceptable use policy (AUP) sets the organizational expectations and boundaries for how AI systems may be used by employees and third parties. AAISM guidance places emphasis on ethical and legal compliance standards as core elements of an AUP to govern responsible behavior, prevent misuse, and align with regulatory and organizational principles. While data requirements, collection/storage processes, and monitoring may be covered in adjacent standards and procedures (e.g., data management policies, SOPs, and operational runbooks), the AUP's essential function is to codify permissible use anchored to ethics, legality, and organizational values.

NEW QUESTION # 159
A hospital is conducting an AI impact assessment for a proposed diagnostic imaging tool. To ensure conformity with regulatory and ethical standards, which risk requires the MOST domain- specific assessment beyond what is typically found in a standard IT risk assessment?

A. System downtime may increase due to hardware failure in the hosting environment, preventing medical professionals from accessing the tool.
B. Noncompliance with data residency laws may occur if patient data is processed in a cloud region outside the required jurisdiction.
C. The model may produce systematically biased diagnoses for specific demographics, potentially leading to widespread clinical harm.
D. Software vulnerabilities in the application's web server may allow an attacker to gain unauthorized access to the system.

Answer: C

Explanation:
Bias in diagnostic outputs directly affects clinical decision-making and patient outcomes, requiring specialized medical, ethical, and regulatory expertise beyond standard IT risk assessments. This type of risk involves domain-specific evaluation of fairness, safety, and potential harm to patients.

NEW QUESTION # 160
Which of the following is the MOST critical success factor for an AI implementation project?

A. Ensuring AI risk is captured in the risk register
B. Developing and using model cards
C. Mapping data throughout the life cycle
D. Obtaining senior management buy-in

Answer: D

Explanation:
AAISM identifies executive sponsorship and senior management buy-in as the foremost success factor for AI initiatives. It secures resources, resolves cross-functional conflicts, sets risk appetite, and enforces adherence to governance and controls. Model cards (A), risk registers (B), and lifecycle data mapping (C) are vital practices within the program, but without top-level commitment, adoption, funding, and accountability often fail.
References: AI Security Management™ (AAISM) Body of Knowledge - AI Program Governance; Executive Sponsorship & Accountability; Strategy-to-Control Alignment for Successful AI Delivery.

NEW QUESTION # 161
Which of the following is the BEST technique for addressing the likelihood of a model evasion attack?

A. Developing a catalog of AI-specific attack scenarios
B. Establishing continuous monitoring
C. Integrating multiple detection mechanisms
D. Implementing hashing techniques

Answer: C

Explanation:
Integrating multiple detection mechanisms creates layered defenses, making it significantly harder for adversarial inputs to bypass all controls. This diversity increases resilience against evasion attempts by detecting anomalies through different methods.

NEW QUESTION # 162
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