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ISACA AAISM Exam Overview:

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

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
The PRIMARY purpose of adopting and implementing AI architecture within an organizational AI program is to:

A. Ensure powerful and scalable AI systems
B. Deploy fast and cost-efficient AI systems
C. Provide a basis for identifying threats and vulnerabilities
D. Align AI system components with business goals

Answer: D

Explanation:
AAISM describes AI architecture as a strategic alignment framework, ensuring AI systems, data pipelines, governance processes, and capabilities match organizational business goals and regulatory requirements.
While threat identification (B) and scalability (D) are advantages, the primary purpose is business alignment.
Option A is not a core architectural objective.
References: AAISM Study Guide - AI Architecture and Business Alignment.

NEW QUESTION # 14
Which of the following AI data life cycle phases presents the GREATEST inherent risk?

A. Maintenance
B. Preparation
C. Monitoring
D. Training

Answer: B

Explanation:
The data Preparation phase-covering sourcing, collection, labeling, cleansing, and provenance-presents the greatest inherent risk because it is where privacy, consent, representativeness, bias, quality, lineage, and legality must be established. Decisions and defects here propagate into training and downstream use, amplifying ethical, regulatory, and accuracy risks.
While Training can introduce additional risks (e.g., poisoning, leakage), these are frequently mitigated by controls that depend on having trustworthy prepared data. Monitoring and Maintenance are later-life-cycle phases oriented toward detection and correction; they are critical but inherently rely on the foundation set during Preparation.
References: AI Security Management™ (AAISM) Body of Knowledge: "AI Data Lifecycle Risks-Sourcing, Consent, Provenance, and Bias," "Risk Treatment Priorities Across the Lifecycle"; AAISM Study Guide:
"Data Preparation Controls and Quality Gates," "Bias and Privacy Risk Controls at Ingestion."

NEW QUESTION # 15
What is the role of an AI governance committee within an organization?

A. To solely focus on marketing AI products
B. To prioritize AI vendors over other business operations
C. To ensure AI models are proprietary and not shared with stakeholders
D. To oversee AI implementation and ensure alignment with ethical guidelines

Answer: D

NEW QUESTION # 16
The BEST approach for aligning AI security requirements with the enterprise security program is to:

A. provide organization-wide training on ethical and responsible AI use.
B. embed security by design principles throughout the AI life cycle.
C. treat AI systems as standard IT assets and apply established security practices.
D. conduct periodic external audits to validate control alignment.

Answer: B

Explanation:
Embedding security by design throughout the AI life cycle ensures that security requirements are integrated into planning, development, deployment, operation, and retirement activities from the beginning. This creates consistent alignment between AI initiatives and the enterprise security program while proactively addressing AI-specific risks.

NEW QUESTION # 17
A healthcare provider plans to use an external vendor's AI system to analyze patient medical images. Management is concerned about protecting patient data and managing the risk of the new technology. Which of the following should be done FIRST before signing the vendor contract?

A. Review the vendor's data handling, regulatory compliance, and supply chain dependencies.
B. Ask patients to sign consent forms acknowledging that AI will be used in their care.
C. Include guaranteed 24/7 system support and technical performance requirements in the contract terms.
D. Focus only on the vendors with a good reputation in healthcare and their industry certifications.

Answer: A

Explanation:
Reviewing the vendor's data handling practices, compliance with healthcare regulations, and supply chain dependencies ensures that risks related to patient data protection and third-party exposure are understood and addressed before entering into a contractual agreement.

NEW QUESTION # 18
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