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Real AAISM Exam, New AAISM Test Topics

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q215-Q220):

NEW QUESTION # 215
A global organization experienced multiple incidents of staff pasting confidential data into public chatbots.
Which action is MOST important to reduce short-term risk?

A. Require employees to complete an annual generic phishing and deepfake module
B. Publish an AI acceptable use policy and collect signatures
C. Block access to public LLMs at the network perimeter
D. Deliver role-based, scenario-driven AI security training mapped to job functions

Answer: D

Explanation:
AAISM states that the most effective short-term mitigation for unintentional data leakage into public AI tools is targeted, role-based AI security awareness, focused on:
* what data cannot be entered
* consequences of leakage
* real-world scenarios employees face
An acceptable-use policy (C) is necessary but insufficient alone. Blocking LLMs (D) may reduce access but does not change user behavior and may cause shadow AI usage. Generic phishing training (B) does not address AI misuse risks.
References: AAISM Study Guide - AI Security Awareness; Human-Centric Data Leakage Prevention.

NEW QUESTION # 216
A financial organization is concerned about AI data poisoning. Which control BEST mitigates this risk?

A. Implementing a break-glass policy
B. Delivering AI-specific security awareness training
C. Transparency with customers about data sources
D. Using training data from multiple sources

Answer: D

Explanation:
AAISM outlines that diversifying training data sources reduces the likelihood and impact of poisoning because:
* attack samples become harder to inject
* anomalies are easier to detect
* corrupted data has reduced influence on model behavior
Break-glass procedures (A) relate to incident response, not mitigation. Customer transparency (B) does not stop poisoning. Awareness training (D) is insufficient alone.
References: AAISM Study Guide - Data Poisoning Mitigation; Data Diversity and Source Validation.

NEW QUESTION # 217
A PRIMARY objective of responsibly providing AI services is to:

A. Build trust for decisions and predictions made by AI models
B. Ensure the confidentiality and integrity of data processed by AI models
C. Enable AI models to operate autonomously
D. Improve the ability of AI models to learn from new data

Answer: A

Explanation:
AAISM emphasizes that the primary objective of responsible AI is to establish and maintain trust in AI-driven decisions and predictions. Trust is achieved through transparency, accountability, fairness, and governance.
While confidentiality and integrity are critical technical objectives, they are not the overarching purpose of responsible AI service provision. Autonomy and learning ability are features of AI, but without trust, adoption and compliance falter. The correct answer is that responsible AI services must focus on building trust in AI outcomes.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Responsible AI Principles) AI Security Management Study Guide - Trust and Ethical AI Adoption

NEW QUESTION # 218
Which of the following is the MOST important course of action prior to placing an in-house developed AI solution into production?

A. Perform a privacy, security, and compliance gap analysis
B. Deploy a prototype of the solution
C. Perform testing, evaluation, validation, and verification
D. Obtain senior management sign-off

Answer: C

Explanation:
AAISM lifecycle governance guidance specifies that before any AI solution is moved into production, it must undergo testing, evaluation, validation, and verification to ensure accuracy, resilience, security, and compliance with standards. These steps confirm that the solution performs as expected under varied conditions. Conducting gap analysis is part of compliance checks but comes earlier in design. Management sign-off provides approval but cannot substitute for assurance of technical reliability. Deploying prototypes is a testing method but not the final assurance step. The critical requirement is a complete cycle of testing, validation, and verification.
References:
AAISM Exam Content Outline - AI Risk Management (Lifecycle Testing and Validation) AI Security Management Study Guide - Production Readiness Checks

NEW QUESTION # 219
An organization plans to use AI to analyze the shopping patterns of its customers to predict interests and send targeted, customized marketing emails. Which of the following should be done FIRST?

A. Verify customer email addresses
B. Update the terms of service
C. Train the marketing department
D. Obtain customer consent

Answer: D

Explanation:
The first action, before any processing of personal data for AI-driven profiling and targeted communications, is to establish a lawful basis for processing. Under AAISM-aligned privacy governance, explicit and informed consent is prioritized for new or sensitive uses such as interest profiling and targeted marketing.
Consent ensures purpose limitation, transparency, and user control prior to model ingestion and campaign activation. Training teams, updating terms of service, or verifying contact details are important, but they do not provide legal authority to process data; therefore, they follow after consent is obtained.
References: AI Security Management (AAISM) Body of Knowledge - Privacy Governance and Lawful Basis; Purpose Limitation and Transparency; Consent Management in AI-enabled Marketing. AAISM Study Guide - Data Protection Controls for AI Profiling; Consent Capture and Record-Keeping.

NEW QUESTION # 220
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