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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Exam Duration:	150 minutes
Real Exam Qty:	90
Related Certifications:	ISACA Advanced in AI Security Management (AAISM)
Passing Score:	450/800
Certificate Validity Period:	3 years
Available Languages:	Spanish, English
Exam Price:	USD $399
Exam Format:	Multiple Choice, Scenario-based Questions
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Online remote proctored exam or test center exam
Pre Condition:	Candidates must 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:

Topic	Details
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.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q188-Q193):

NEW QUESTION # 188
Which of the following key risk indicators (KRIs) is MOST relevant when evaluating the effectiveness of an organization's AI risk management program?

A. Percentage of AI projects in compliance
B. Number of AI models deployed into production
C. Number of AI-related training requests submitted
D. Percentage of critical business systems with AI components

Answer: A

Explanation:
AAISM identifies percentage of AI projects in compliance as the most relevant KRI for evaluating AI risk management effectiveness. This metric directly reflects adherence to governance, regulatory, and security requirements. The number of models deployed (A) or systems with AI components (B) indicate scale, not risk management quality. Training requests (D) show awareness levels but do not measure effectiveness of risk management. Compliance percentage provides a direct, measurable indication of how well risks are being governed and mitigated.

NEW QUESTION # 189
Which of the following is MOST important to consider when validating a third-party AI tool?

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

Answer: B

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 # 190
Which of the following BEST ensures the integrity of data sets used to train AI models?

A. Clear documentation of data sources, types used, and processing steps
B. Collection and retention of only necessary data sets
C. Tracking and verification of data sets via cryptographic controls
D. Appropriate storage of data sets according to documented classification processes

Answer: C

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.
References:
AAISM Exam Content Outline - AI Risk Management (Data Integrity and Protection) AI Security Management Study Guide - Cryptographic Controls for Dataset Integrity

NEW QUESTION # 191
A bank's fraud detection AI model is trained on customer transaction data. A customer submits a data erasure request under privacy law, but the data also exists in training sets. Which of the following is the BEST approach if there is concern that complete data removal may reduce accuracy?

A. Update standard operating procedures to ensure that the customer's data is fully deleted.
B. Inform the customer that deletion from AI models is technically infeasible.
C. Suspend the AI model until all erasure requests have been processed.
D. Deny the request because legitimate purpose of use outweighs privacy rights.

Answer: A

Explanation:
Updating standard operating procedures to ensure the customer's data is fully deleted is the best approach because organizations must comply with applicable privacy and data erasure requirements. Operational procedures should address how data is removed from training datasets and associated AI processes while balancing model maintenance and retraining considerations.

NEW QUESTION # 192
Which of the following actions would BEST help an organization be prepared for a deepfake attack?

A. Distributing AI-specific policies and procedures to employees
B. Training employees on AI-specific incident response
C. Improving compliance with regional AI laws and regulations
D. Implementing code obfuscation to hide code from attackers

Answer: B

Explanation:
Training employees on AI-specific incident response equips them to quickly recognize and appropriately respond to deepfake incidents, reducing the impact and improving organizational readiness for this type of threat.

NEW QUESTION # 193
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