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ISACA AAISM Exam Overview:

Certification Vendor:ISACA
Exam Name:Advanced in AI Security Management (AAISM) Exam
Exam Number:AAISM
Passing Score:450/800
Certificate Validity Period:3 years (continuing professional education required for renewal)
Related Certifications:CISSP
CISM
Available Languages:Spanish, English
Exam Duration:150 minutes
Exam Price:USD 459 (member) / USD 599 (non-member)
Exam Format:Multiple-choice questions
Real Exam Qty:90
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 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.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q131-Q136):

NEW QUESTION # 131
Which of the following is the GREATEST risk for an organization that has adopted AI-powered chatbots for its customer service platform?

Answer: B

Explanation:
Prompt injection directly targets chatbot interactions by manipulating inputs to override instructions or extract sensitive information, making it a primary and immediate risk in customer- facing AI systems.


NEW QUESTION # 132
A healthcare organization has initiated the design of an AI-supported advisory system. Which of the following BEST mitigates the risk of AI generating recommendations that adversely impact patients?

Answer: B

Explanation:
Reviewing outputs against defined thresholds enables continuous validation of recommendations, ensuring they remain within safe and acceptable limits and reducing the likelihood of harmful outcomes.


NEW QUESTION # 133
A global financial organization wants to deploy an AI solution for credit scoring. Which of the following should the organization do FIRST?

Answer: A

Explanation:
Ensuring the solution complies with applicable laws and regulations is the foundational step before any deployment activities. Regulatory compliance defines permissible data use, model behavior, and governance requirements, which must be established before conducting assessments, testing strategies, or documentation.


NEW QUESTION # 134
Which of the following is the GREATEST risk inherent to implementing generative AI?

Answer: B

Explanation:
The AAISM framework identifies intellectual property (IP) violations as the most significant inherent risk in deploying generative AI. These systems often rely on large-scale internet data for training, which may inadvertently contain copyrighted or proprietary material. This creates legal and reputational exposure when outputs reproduce or reference protected content. While employee training gaps, asset vulnerabilities, and ROI concerns are relevant risks, they are not inherent to generative models themselves. The greatest inherent risk tied directly to generative AI adoption is the possibility of violating intellectual property rights.
References:
AAISM Study Guide - AI Risk Management (Generative AI Risks and Legal Exposure) ISACA AI Security Management - Copyright and IP Concerns in Generative AI


NEW QUESTION # 135
Which of the following BEST ensures the integrity of data sets used to train AI models?

Answer: D

Explanation:
AAISM defines cryptographic tracking and verification as the best control for ensuring the integrity of training data. By applying hashing and verification methods, organizations can confirm that datasets remain unaltered and authentic throughout collection, storage, and processing.
Collecting only necessary data, proper storage, or clear documentation all support governance and compliance, but they do not guarantee that the data has not been tampered with. Integrity is specifically ensured by cryptographic verification techniques.


NEW QUESTION # 136
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