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ISACA AAISM 考試大綱：

主題	簡介
主題 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.
主題 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.
主題 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.

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最新的 ISACA AAISM Certification AAISM 免費考試真題 (Q284-Q289):

問題 #284
Which BEST addresses hallucination risk in AI systems?

A. Recursive chunking
B. Content enrichment
C. Human oversight
D. Automated output validation

答案：C

解題說明：
AAISM states that human oversight is the strongest control for hallucination risks, especially in high-impact decisions. Humans validate outputs, correct errors, and override unsafe model responses.

問題 #285
An e-commerce platform has been subjected to false product image submissions and reviews, as well as fake search and purchase histories. Which of the following is the information security team's BEST course of action in this situation?

A. Review the pre-processing tools.
B. Verify data provenance.
C. Block users who submitted the false information.
D. Implement data monitoring tools to detect false data.

答案：B

解題說明：
Verifying data provenance is the best course of action because it helps confirm the origin, authenticity, and integrity of submitted images, reviews, and behavioral data. This directly addresses the risk of malicious or fabricated data contaminating the platform and influencing AI- driven recommendations or analytics.

問題 #286
A large financial institution is integrating a third-party AI solution into its fraud detection system.
Which is the BEST way to reduce AI vendor/supply chain risk?

A. Focus on performance testing
B. Establish contractual agreements requiring evidence of secure development practices
C. Conduct annual vulnerability assessments after integration
D. Use isolated virtual environments to validate integration

答案：B

解題說明：
AAISM emphasizes contractual governance controls as the strongest mechanism for managing AI vendor and supply chain dependencies. Contracts must require:
- secure development lifecycle practices
- documentation of controls
- security testing
- supply chain transparency

問題 #287
Which of the following BEST enables an organization to strengthen information security controls around the use of generative AI applications?

A. Monitoring AI outputs against policy
B. Implementing a kill switch
C. Validating AI model training data
D. Ensuring controls exceed industry benchmarks

答案：A

解題說明：
For generative AI, the primary enterprise security exposure is data and content exfiltration or policy violations at output, including leakage of sensitive data, toxic content, or regulatory non-compliance. AAISM prescribes policy-aligned output monitoring (e.g., DLP checks, PII/PHI detection, toxicity/safety filters, watermark
/attribution checks) integrated into inference gateways to enforce organizational policies and evidence compliance. Exceeding benchmarks (A) is not a control; training-data validation (C) may be infeasible with third-party LLMs; and kill switches (D) are essential contingency controls but do not continuously strengthen everyday security posture.
References: AI Security Management™ (AAISM) Body of Knowledge - GenAI Governance and Guardrails; Output Filtering and DLP Controls; Policy Enforcement at Inference. AAISM Study Guide - Monitoring & Auditing of GenAI; Gateway Patterns for Safe Use; Control Effectiveness Measures.

問題 #288
Which of the following is the MOST effective action an organization can take to address data security risk when using generative AI features in an application?

A. Rely on the AI provider's independent third-party audit reports for assurance
B. Establish guidelines and best practices with third parties for intellectual property ownership
C. Require opt-out provisions for data usage in service agreements
D. Establish policies and awareness training for acceptable use of AI

答案：C

問題 #289
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