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ISACA AAISM 考試大綱：

主題簡介
主題 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.
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 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.

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最新的 ISACA AAISM Certification AAISM 免費考試真題 (Q356-Q361):

問題 #356
Which of the following is the MOST important consideration for an organization that has decided to adopt AI to leverage its competitive advantage?

答案：D

解題說明：
AAISM's governance guidance emphasizes that adopting AI for competitive advantage must begin with a comprehensive strategic roadmap for integration. This roadmap aligns AI adoption with business objectives, sets priorities, defines milestones, and ensures coordination across functions. Risk management, training, and tool procurement are essential, but they are tactical steps that follow once the strategic direction is defined.
Without a roadmap, adoption becomes fragmented and risks misalignment with business strategy. The most important consideration at the adoption stage is therefore creating a strategic integration roadmap.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Strategy and Roadmapping) AI Security Management Study Guide - Business Alignment of AI Initiatives


問題 #357
Which area of intellectual property law presents the GREATEST challenge in determining copyright protection for AI-generated content?

答案：D

解題說明：
AAISM governance content highlights that the greatest intellectual property challenge in the context of AI- generated works is determining rightful ownership. Traditional copyright law requires human authorship, but AI-generated creations blur authorship and ownership boundaries, raising legal uncertainty about who can claim rights. Trademark enforcement, trade secret protection, and licensing frameworks are established areas of IP law but do not present the same fundamental challenge as ownership attribution. For AI-generated content, the central legal dilemma is ownership of the creation.
References:
AAISM Study Guide - AI Governance and Program Management (Intellectual Property and AI) ISACA AI Security Management - Copyright and Ownership Challenges


問題 #358
A bank is training an AI credit scoring model on a vast amount of sensitive customer data. Which of the following is the MOST critical security risk in this training process?

答案：B

解題說明：
Data poisoning is the most critical risk during the training process because attackers can intentionally manipulate training data to corrupt the model's behavior, accuracy, or decision- making outcomes. Compromised training data can fundamentally undermine the integrity and trustworthiness of the credit scoring model.


問題 #359
A healthcare provider uses a third-party large language model (LLM) to summarize patient records. A risk analysis indicates a high likelihood of potential data leakage in excess of the organization's risk tolerance. Which of the following is the BEST course of action taken by the vendor to reduce risk to an acceptable level?

答案：D

解題說明：
Migrating the LLM workload to a private instance and restricting access most effectively reduces the risk of sensitive patient data leakage. This approach provides stronger control over data handling, processing environments, access management, and exposure pathways, making it the most appropriate risk reduction measure for healthcare data.


問題 #360
During red-team testing of an AI system used for lending decisions, which technique BEST simulates a data poisoning attack?

答案：C

解題說明：
AAISM defines data poisoning as intentional manipulation of the training data to influence model behavior or outputs. Corrupting training data (D) is the exact definition of this attack type.
Noise injection (A) is model degradation testing. Model theft (B) is exfiltration. Encrypted data (C) is irrelevant.
References: AAISM Study Guide - AI Threats; Data Poisoning Attacks.


問題 #361
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