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AAISM Test Assessment, AAISM Latest Test Simulator

The ISACA AAISM Dumps PDF File material is printable, enabling your off-screen study. This format is portable and easily usable on smart devices including laptops, tablets, and smartphones. ISACA AAISM dumps team of professionals keeps an eye on content of the ISACA AAISM Exam and updates its product accordingly. Our pdf is a very handy format for casual and quick preparation of the ISACA certification exam.

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.

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q48-Q53):

NEW QUESTION # 48
Embedding unique identifiers into AI models would BEST help with:

A. Tracking ownership
B. Detecting adversarial attacks
C. Preventing unauthorized access
D. Eliminating AI system biases

Answer: A

Explanation:
The AAISM framework explains that embedding unique identifiers-such as digital watermarks or model fingerprints-enables organizations to trace and verify model provenance. This technique is used for tracking ownership and intellectual property rights over models, particularly when sharing, licensing, or distributing AI systems. While identifiers may support certain security functions, their primary control objective is ownership verification, not preventing access, bias removal, or adversarial detection. The correct alignment with AAISM controls is tracking ownership.
References:
AAISM Exam Content Outline - AI Technologies and Controls (Model Provenance and Watermarking) AI Security Management Study Guide - Ownership and Accountability of Models

NEW QUESTION # 49
Which of the following is the MOST important factor to consider when selecting industry frameworks to align organizational AI governance with business objectives?

A. Risk register
B. Risk threshold
C. Risk appetite
D. Risk tolerance

Answer: C

Explanation:
According to AAISM governance principles, the risk appetite of the organization is the most important factor in selecting appropriate frameworks for AI governance. Risk appetite defines the level of risk an organization is willing to accept in pursuit of its objectives, ensuring frameworks are aligned with strategic goals. Risk tolerance and thresholds are operational measures derived from appetite, and the risk register is a documentation tool. The foundational consideration for framework alignment is the organization's risk appetite.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Risk Appetite in Governance Alignment) AI Security Management Study Guide - Framework Selection and Business Strategy

NEW QUESTION # 50
The PRIMARY benefit of implementing moderation controls in generative AI applications is that it can:

A. Optimize the model's response time
B. Ensure the generated content adheres to privacy regulations
C. Increase the model's ability to generate diverse and creative content
D. Filter out harmful or inappropriate content

Answer: D

Explanation:
AAISM materials identify the primary benefit of moderation controls in generative AI systems as their ability to filter out harmful, offensive, or inappropriate content before it is delivered to users. This safeguards organizational reputation, compliance, and user trust. While moderation may indirectly support compliance with privacy requirements, its main function is ensuring that outputs align with ethical and safety standards.
Moderation does not enhance creativity or response speed. Its primary value is in controlling the quality of generated outputs by blocking harmful content.
References:
AAISM Study Guide - AI Technologies and Controls (Moderation and Output Controls) ISACA AI Security Management - Harmful Content Mitigation in Generative AI

NEW QUESTION # 51
Which of the following BEST describes the role of risk documentation in an AI governance program?

A. Providing a record of past AI-related incidents for audits
B. Demonstrating governance, risk, and compliance (GRC) for external stakeholders
C. Offering detailed analyses of technical risk and vulnerabilities
D. Outlining the acceptable levels of risk for AI-related initiatives

Answer: D

Explanation:
In AAISM governance guidance, risk documentation is described as the structured record that defines the organization's risk appetite and tolerance levels for AI initiatives. By outlining acceptable levels of risk, documentation ensures decision-makers can approve, monitor, and adjust AI projects within defined boundaries. While it may also serve audit functions, technical analysis, or communication to stakeholders, its primary role is to formalize risk acceptance thresholds and integrate them into governance and decision- making. This aligns directly with the governance requirement to align AI adoption with organizational risk appetite.
References:
AAISM Study Guide - AI Governance and Program Management (Risk Documentation and Appetite) ISACA AI Security Management - Governance, Risk and Compliance Integration

NEW QUESTION # 52
Which of the following is MOST important to consider when validating a third-party AI tool?

A. Industry analysis and certifications
B. Roundtable testing
C. Right to audit
D. Terms and conditions

Answer: C

Explanation:
The AAISM framework specifies that when adopting third-party AI tools, the right to audit is the most critical contractual and governance safeguard. This ensures that the organization can independently verify compliance with security, privacy, and ethical requirements throughout the lifecycle of the tool. Terms and conditions provide general usage guidance but often limit liability rather than ensuring transparency. Industry certifications may indicate good practice but do not substitute for direct verification. Roundtable testing is useful for evaluation but lacks enforceability. Only the contractual right to audit provides formal assurance that the tool operates in accordance with organizational policies and external regulations.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Third-Party Governance) AI Security Management Study Guide - Vendor Oversight and Audit Rights

NEW QUESTION # 53
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