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ISACA AAISM Exam Overview:

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

TopicDetails
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 (Q344-Q349):

NEW QUESTION # 344
An attacker triggers several AI agents to execute CPU-heavy tasks simultaneously, exhausting compute quotas. Which of the following agentic AI threats is this an example of?

Answer: C

Explanation:
Unbounded consumption occurs when AI agents are manipulated into excessively consuming computational resources, such as CPU, memory, or API quotas. Triggering multiple CPU- intensive tasks simultaneously to exhaust compute capacity is a direct example of this threat.


NEW QUESTION # 345
An organization develops and implements an AI-based plug-in for users that summarizes their individual emails. Which of the following is the GREATEST risk associated with this application?

Answer: C

Explanation:
According to AAISM risk management guidance, the greatest risk in AI applications handling personal communication data is inadequate parameter controls, which may allow unintended access, manipulation, or leakage of sensitive information. Plug-ins that interact with emails must enforce strict parameter validation and security restrictions to prevent unauthorized or manipulated inputs. While vulnerability scanning, format incompatibility, and API rate limiting are valid concerns, they are secondary. The primary risk is a lack of strong parameter controls that could expose sensitive content.
References:
AAISM Exam Content Outline - AI Risk Management (Application Security Risks) AI Security Management Study Guide - Plug-in and API Security Risks


NEW QUESTION # 346
The PRIMARY purpose of adopting and implementing AI architecture within an organizational AI program is to:

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.


NEW QUESTION # 347
The PRIMARY purpose of adopting and implementing AI architecture as part of an organizational AI program is to:

Answer: B

Explanation:
An AI architecture, within program governance, exists to align AI system components and lifecycle processes with business goals and policy constraints. Architecture provides the organizing structure linking strategy, capabilities, processes, data, models, controls, and assurance so that AI outcomes are traceable to business value, risk appetite, and compliance expectations. Efficiency, speed, and threat analysis are important architectural qualities, but they are not the primary purpose; the primary purpose is strategic and governance alignment so that technical choices and controls consistently realize organizational objectives.
References:* AI Security Management (AAISM) Body of Knowledge: AI Program Architecture - alignment of capabilities, processes, and controls to business objectives* AI Security Management Study Guide: Architecture-driven governance, traceability from business goals to technical and control design


NEW QUESTION # 348
An organization implements AI-driven behavioral analytics to identify insider threats and compromised credentials. Which of the following is the MOST significant security risk to be addressed by this deployment?

Answer: D

Explanation:
Adversaries can attempt to manipulate behavioral analytics models by injecting misleading patterns or adapting their behavior to evade detection, which can result in inaccurate threat identification and undermine the effectiveness of the system.


NEW QUESTION # 349
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