Free PDF Quiz 2026 Updated ISACA AAISM: Dumps ISACA Advanced in AI Security Management (AAISM) Exam Reviews

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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 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 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.

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
The PRIMARY AI governance risk of inconsistently applying data augmentation and cleansing across datasets is that the model may:

Answer: B

Explanation:
Inconsistent data augmentation and cleansing can introduce or amplify bias within datasets, resulting in unreliable or unfair model behavior. This undermines both data integrity and model integrity, creating significant governance, ethical, and operational risks.


NEW QUESTION # 15
An incident response team has restored an AI system after a confirmed security incident. Which of the following should be done NEXT?

Answer: A

Explanation:
After restoration, the immediate next step is to ensure the AI system is functioning correctly and producing expected, reliable outputs. This confirms that the system has been fully and safely recovered before moving on to communication or further analysis.


NEW QUESTION # 16
Security and assurance requirements for AI systems should FIRST be embedded in the:

Answer: B

Explanation:
AAISM directs organizations to embed security, safety, and compliance controls at design time ("secure-by-design" and "shift-left"), ensuring requirements for robustness, privacy, and governance are defined as non-functional constraints on architecture, data sourcing, model choices, and evaluation criteria before any model is trained. Deferring these requirements to training, testing, or deployment increases residual risk and rework, and weakens traceability of control coverage.


NEW QUESTION # 17
A financial organization is concerned about the risk of prompt injection attacks on its customer service chatbot. Which of the following controls BEST addresses this concern?

Answer: C

Explanation:
AAISM emphasizes preventive technical controls for LLM threats such as prompt injection, including input validation/sanitization, instruction isolation, allow/deny lists, context segmentation, and output filtering.
These reduce the model's exposure to adversarial instructions embedded in user prompts or retrieved context.
Monitoring (A) is detective, not preventive; increasing parameters (B) does not inherently improve security against injection; human-in-the-loop (D) is valuable for high-risk decisions but does not directly neutralize injection vectors at the control boundary the way input validation and content filtering do.
References: AI Security Management (AAISM) Body of Knowledge - Technical Controls for LLM Security; Input/Output Filtering and Context Isolation; Secure Inference and Prompt Injection Mitigations.


NEW QUESTION # 18
What is the PRIMARY purpose of a dedicated AI management system policy?

Answer: B

Explanation:
AAISM states that an AI management system policy provides organizational structure by:
* defining AI objectives
* aligning governance
* outlining accountability
* defining roles, responsibilities, and guiding principles
Regulatory compliance (C) is a part of governance but not the overall purpose. Accuracy (B) and environmental impact (A) are narrower focus areas.
References: AAISM Study Guide - AI Management System Policies; Governance Framework Requirements.


NEW QUESTION # 19
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