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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Passing Score:	450 (out of 800)
Real Exam Qty:	90
Exam Duration:	150 minutes
Related Certifications:	CISSP CISM
Exam Format:	Multiple-choice, Scenario-based
Certificate Validity Period:	3 years
Available Languages:	English
Exam Price:	US$459 (members), US$599 (non-members)
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 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 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 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 (Q296-Q301):

NEW QUESTION # 296
Which of the following is the MOST effective strategy for penetration testers assessing the security of an AI model against membership inference attacks?

A. Analyzing AI model confidence scores to indicate training data
B. Generating synthetic data to replace the training data
C. Measuring AI model accuracy on the test set
D. Disabling AI model logging to reduce noise during testing

Answer: A

Explanation:
AAISM identifies confidence-score analysis as a principal technique for evaluating exposure to membership inference: models often yield measurably higher confidence for points seen during training. Testers compare output probabilities/entropies for known in-training vs. out-of-training samples to assess leakage.

NEW QUESTION # 297
Which of the following would MOST effectively obtain ongoing support from stakeholders to align AI initiatives with business objectives?

A. Quantifying and communicating the value of AI solutions
B. Conducting periodic organization-wide AI staff training
C. Developing and monitoring the AI strategic roadmap
D. Addressing and optimizing AI-related risk

Answer: A

Explanation:
Sustained stakeholder sponsorship hinges on demonstrated, quantified business value communicated in terms they own (KPIs, ROI, cost-to-serve, risk-adjusted outcomes). AAISM frames stakeholder alignment as a value-assurance loop: define value hypotheses, measure realized value, and continuously communicate results to sponsors. While an AI roadmap (C), risk optimization (B), and training (A) are important, they support rather than drive ongoing executive buy-in. Quantified value narratives secure resources and reinforce alignment to strategic goals.
References:* AI Security Management™ (AAISM) Body of Knowledge: Strategy & Value Realization- value metrics, benefits tracking, stakeholder reporting* AAISM Study Guide: Business alignment for AI- OKRs/KPIs, ROI cases, benefits realization management

NEW QUESTION # 298
An organization is implementing a large language model (LLM) to answer questions for both employees and customers. The CIO wants the LLM to provide employees with additional internal data that should not be shared with customers. Which of the following is the MOST secure approach?

A. Allow list employee access
B. Prompt sanitization
C. Retrieval-augmented generation (RAG) with access control lists (ACLs)
D. Model fine tuning with increased use of function calls

Answer: C

Explanation:
Retrieval-augmented generation (RAG) combined with access control lists (ACLs) ensures that the LLM retrieves and exposes only the data each user is authorized to access. This approach provides granular, role-based protection of internal information while supporting different data visibility requirements for employees and customers.

NEW QUESTION # 299
An organization wants to ensure a new AI security program is in alignment with the existing information security program. Which of the following is the BEST course of action?

A. Integrate AI security tasks into existing IT operations processes and apply additional technical controls.
B. Establish key risk indicators (KRIs) and dashboards to measure AI security performance and present results to management.
C. Develop awareness materials for employees and issue AI acceptable use guidelines across the enterprise.
D. Draft an initial program that defines AI-specific objectives, governance roles, and reporting responsibilities.

Answer: D

Explanation:
Defining AI-specific objectives, governance roles, and reporting responsibilities establishes a structured framework that aligns the AI security program with existing information security governance, ensuring consistency, clarity, and integration from the outset.

NEW QUESTION # 300
A vendor switched its chatbot's AI model without due diligence, causing unethical investment advice. What control BEST prevents this scenario?

A. Shared responsibility model
B. Master services agreement
C. Data minimization
D. Change management

Answer: D

Explanation:
AAISM stresses AI-specific change management as essential for vendor-driven or system-driven updates. Proper change control includes:
- impact assessments
- ethical review
- risk evaluation
- approval checkpoints
- rollback plans

NEW QUESTION # 301
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