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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Certificate Validity Period:	3 years
Exam Duration:	150 minutes
Available Languages:	English, Spanish
Passing Score:	450/800
Related Certifications:	ISACA Advanced in AI Security Management (AAISM)
Exam Price:	USD $399
Exam Format:	Multiple Choice, Scenario-based Questions
Real Exam Qty:	90
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 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 (Q157-Q162):

NEW QUESTION # 157
From a risk perspective, which of the following is the MOST important step when implementing an adoption strategy for AI systems?

A. Implementing a robust risk analysis methodology tailored to AI-specific tasks
B. Establishing a comprehensive AI risk assessment framework
C. Benchmarking against peer organizations' AI risk strategies
D. Conducting an AI risk assessment and updating the enterprise risk register

Answer: D

Explanation:
AAISM guidance states that when adopting AI, the most important step is to conduct a risk assessment and update the enterprise risk register. This ensures AI-specific risks are identified, documented, and integrated into the organization's existing governance structures. Benchmarking peers provides context but does not address internal risk. Implementing methodologies and frameworks are important, but they precede or follow the assessment process. The decisive step that connects adoption to enterprise risk governance is updating the risk register with AI-specific risks.
References:
AAISM Study Guide - AI Risk Management (Integration with Enterprise Risk Management) ISACA AI Security Management - Risk Assessment and Register Updates

NEW QUESTION # 158
Which of the following is MOST important for effective AI risk management?

A. Internal stakeholder participation in AI risk management processes
B. Risk measurement during an early stage of the AI system life cycle
C. Creation of separate risk management processes for AI-specific risk
D. Utilization of best practice AI risk management frameworks

Answer: B

Explanation:
AAISM positions early and continuous risk assessment as a critical success factor. The guidance states that AI risk should be "identified, analyzed, and measured starting from the design and concept phases, before significant investment and deployment." This ensures that high-impact risks (e.g., bias, privacy violations, safety issues) can be mitigated or designed-out before they become embedded in production systems.

NEW QUESTION # 159
Which of the following is the BEST mitigation technique for a model inversion attack?

A. Establishing input monitoring and sanitization procedures
B. Regularly updating and retraining the model
C. Deploying access controls to restrict unauthorized disclosures
D. Implementing privacy-preserving methods

Answer: D

Explanation:
Privacy-preserving methods such as differential privacy limit the amount of information a model can reveal about its training data, directly reducing the risk of reconstructing sensitive inputs through model inversion attacks.

NEW QUESTION # 160
An organization's CIO provided the AI steering committee with a list of AI technologies in use and tasked them with categorizing the technologies by risk. Which of the following should the committee do FIRST?

A. Ensure the AI technologies are included in the asset inventory
B. Assess risk levels based on risk appetite and regulatory requirements
C. Begin grouping similar AI products and solutions together
D. Identify vulnerabilities related to the technologies in use

Answer: A

Explanation:
AAISM governance practices state that before categorizing technologies by risk, the first step is to ensure that all AI systems are documented in the organizational asset inventory. A complete inventory provides the foundation for subsequent risk analysis, accountability, and governance.
Grouping solutions, identifying vulnerabilities, and assessing risk levels come afterward, once inventory accuracy is established. Without confirming that the technologies are recorded in the inventory, risk categorization may miss critical assets.

NEW QUESTION # 161
Which of the following is BEST for analyzing true positives, true negatives, false positives, and false negatives produced by an AI model?

A. Hyperparameter tuning
B. Precision
C. Confusion matrix
D. Recall

Answer: C

Explanation:
A confusion matrix explicitly tabulates TP, TN, FP, FN, serving as the basis for derived metrics (precision, recall, F1, specificity) and error analysis. Precision and recall are single metrics derived from the matrix; hyperparameter tuning is a process, not an analysis artifact.
References: AAISM Body of Knowledge: Model Evaluation & Assurance-Classification Metrics and Error Analysis; AAISM Study Guide: Confusion Matrix Fundamentals and Derived Measures.

NEW QUESTION # 162
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