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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
Related Certifications:ISACA Advanced in AI Security Management (AAISM)
Certificate Validity Period:3 years
Exam Price:USD $399
Exam Duration:150 minutes
Available Languages:Spanish, English
Exam Format:Scenario-based Questions, Multiple Choice
Passing Score:450/800
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:

TopicDetails
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 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 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 (Q194-Q199):

NEW QUESTION # 194
Which of the following would BEST help an organization align its AI initiatives with business objectives?

Answer: C

Explanation:
An AI governance committee provides cross-functional oversight to align AI strategy, investment, and risk appetite with business goals. It sets policies, prioritizes portfolios, ensures accountability, and integrates compliance, ethics, and security into decision-making. While compliance, ethics, and information protection are essential, governance is the primary mechanism that systematically connects AI initiatives to enterprise objectives.
References: AI Security Management (AAISM) Body of Knowledge: AI Governance Operating Model- Structures, Roles, and Decision Rights; AAISM Study Guide: Strategic Alignment, Portfolio Oversight, and Accountability Mechanisms.


NEW QUESTION # 195
A retailer's AI-driven dynamic pricing system failed after its feature store was corrupted, resulting in all prices being set to zero. The data source has been isolated, and management demands immediate recovery. Which of the following is the MOST appropriate course of action to restore operations while minimizing impact?

Answer: C

Explanation:
Reverting to a previously stable model and validating a clean backup of the feature store enables rapid restoration of normal operations while ensuring data integrity. This minimizes business disruption and avoids propagating corrupted data into the system.


NEW QUESTION # 196
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?

Answer: A

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.
* A is necessary but reactive and limited to your environment.
* B addresses performance, not supply chain security.
* D is a good isolation/validation practice but does not create vendor accountability across the lifecycle.
References:* AI Security Management (AAISM) Body of Knowledge: Third-Party and Supply Chain Governance-Contractual security requirements, evidence-based assurance, right-to-audit.* AI Security Management Study Guide: Vendor due diligence artifacts, secure development evidence, lifecycle obligations for AI providers.


NEW QUESTION # 197
Which of the following testing techniques is BEST for determining how an AI model makes decisions?

Answer: C

Explanation:
AAISM indicates that white-box testing allows evaluators full visibility into:
- internal logic
- weights
- decision pathways
- model architecture
This makes it ideal for understanding how decisions are made.


NEW QUESTION # 198
Which of the following BEST describes the role of model cards in AI solutions?

Answer: A

Explanation:
AAISM positions model cards as standardized documentation artifacts that record intended use and out-of- scope use, training/evaluation data characteristics, performance metrics across groups, limitations/risks
, and governance controls/owners. Their purpose is transparency and assurance, not automated tuning or synthetic data generation. Visualization (A) may appear within a card, but the core role is structured documentation for governance, risk, and compliance.
References: AI Security Management (AAISM) Body of Knowledge - Documentation & Transparency Artifacts; Model Cards for Governance, Risk, and Assurance; Intended Use, Limitations, and Performance Disclosure.


NEW QUESTION # 199
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