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ISACA AAISM Exam Overview:

Certification Vendor:ISACA
Exam Name:Advanced in AI Security Management (AAISM) Exam
Exam Number:AAISM
Related Certifications:CISSP
CISM
Exam Price:USD 459 (member) / USD 599 (non-member)
Certificate Validity Period:3 years (continuing professional education required for renewal)
Available Languages:English, Spanish
Exam Duration:150 minutes
Exam Format:Multiple-choice questions
Real Exam Qty:90
Passing Score:450/800
Recommended Training:ISACA Official Training & Review Materials
Exam Registration:ISACA AAISM Credentialing Page
Sample Questions:ISACA AAISM Sample Questions
Exam Way:Computer-based exam (online proctored or authorized test center)
Pre Condition:Recommended: Active CISM or CISSP certification and experience in IT/security management or advisory roles
Official Syllabus URL:https://www.isaca.org/credentialing/aaism

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ISACA AAISM Exam Syllabus Topics:

TopicDetails
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 (Q127-Q132):

NEW QUESTION # 127
When evaluating a new AI tool for intrusion prevention, which is MOST important to ensure fit within the existing program architecture?

Answer: D

Explanation:
AAISM stresses that AI tools must align with the organization's existing control objectives and governance requirements, ensuring consistency with risk management, detection philosophy, and operational processes.


NEW QUESTION # 128
A large corporation has received an influx of sophisticated credential-phishing emails and wants to leverage an AI solution to detect and quarantine these messages before they reach employees. Which of the following blue-team AI features is BEST suited to this task?

Answer: C

Explanation:
For pre-delivery phishing detection and classification, the most appropriate capability is NLP-- tokenization, feature extraction, semantic similarity, and supervised classifiers (e.g., transformer- based classifiers) tuned on phishing corpora and indicators. NLP models score messages and drive automated quarantine policies.


NEW QUESTION # 129
Which of the following is the GREATEST benefit of performing AI security risk assessments?

Answer: A

Explanation:
AAISM emphasizes that the core outcome of AI risk assessments is prioritization: mapping threat likelihood and business impact to determine which risks to treat first, at what strength, and with which controls.
Implementing privacy controls (A), funding alignment (B), and updating registers (C) are important outputs, but the greatest benefit is making defensible, prioritized decisions that align with risk appetite and optimize control selection and resource allocation.
References: AI Security Management™ (AAISM) Body of Knowledge - AI Risk Assessment & Treatment; Risk Appetite, Tolerance, and Prioritization; Governance of Risk Decisions and Tracking.


NEW QUESTION # 130
Which of the following should be done FIRST when developing an acceptable use policy for generative AI?

Answer: C

Explanation:
According to the AAISM framework, the first step in drafting an acceptable use policy is defining the scope and intended use of the AI system. This ensures that governance, regulatory considerations, risk assessments, and alignment with organizational policies are all tailored to the specific applications and functions the AI will serve. Once scope and intended use are clearly defined, legal, regulatory, and risk considerations can be systematically applied. Without this step, policies risk being generic and misaligned with business objectives.


NEW QUESTION # 131
Which approach should an organization prioritize to effectively verify the security of its AI models?

Answer: A

Explanation:
The AAISM standard explicitly states that traditional penetration tests alone are insufficient for AI systems. Effective AI security testing requires:
- AI-specific threat modeling (e.g., data poisoning, prompt injection, model theft)
- Adversarial attack simulations (white-box, black-box, gradient-based attacks)
- Evaluation of robustness and manipulation resistance


NEW QUESTION # 132
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