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ISACA AAISM Exam Syllabus Topics:

TopicDetails
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 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 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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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q76-Q81):

NEW QUESTION # 76
An AI-powered drone surveillance system is deployed at a construction site. Which of the following is the MOST appropriate control to detect adversarial threats in the visual recognition model?

Answer: B

Explanation:
Adversarial threats in visual recognition models involve manipulated inputs designed to deceive the model. Testing the model's robustness against image manipulation directly evaluates its ability to detect and resist such adversarial inputs, making it the most appropriate control.


NEW QUESTION # 77
An attacker crafts inputs to a large language model (LLM) to exploit output integrity controls. Which of the following types of attacks is this an example of?

Answer: C

Explanation:
According to the AAISM framework, prompt injection is the act of deliberately crafting malicious or manipulative inputs to override, bypass, or exploit the model's intended controls. In this case, the attacker is targeting the integrity of the model's outputs by exploiting weaknesses in how it interprets and processes prompts. Jailbreaking is a subtype of prompt injection specifically designed to override safety restrictions, while evasion attacks target classification boundaries in other ML contexts, and remote code execution refers to system-level exploitation outside of the AI inference context. The most accurate classification of this attack is prompt injection.
References:
AAISM Exam Content Outline - AI Technologies and Controls (Prompt Security and Input Manipulation) AI Security Management Study Guide - Threats to Output Integrity


NEW QUESTION # 78
Which of the following types of testing can MOST effectively mitigate prompt hacking?

Answer: C

Explanation:
Prompt hacking manipulates large language models by injecting adversarial instructions into inputs to bypass or override safeguards. The AAISM framework identifies adversarial testing as the most effective way to simulate such manipulative attempts, expose vulnerabilities, and improve the resilience of controls. Load testing evaluates performance, input testing checks format validation, and regression testing validates functionality after changes. None of these directly address the manipulation of natural language inputs.
Adversarial testing is therefore the correct approach to mitigate prompt hacking risks.
References:
AAISM Exam Content Outline - AI Risk Management (Testing and Assurance Practices) AI Security Management Study Guide - Adversarial Testing Against Prompt Manipulation


NEW QUESTION # 79
When preparing for an AI incident, which of the following should be done FIRST?

Answer: D

Explanation:
AAISM incident response guidance states the first foundational step is forming a cross-functional AI-aware incident response team, including model developers, data stewards, security leads, and compliance officers. Without the team established, recovery (C), containment (D), or communication channels (A) cannot be effectively designed or executed.


NEW QUESTION # 80
Which of the following is the GREATEST risk for an organization that has adopted AI-powered chatbots for its customer service platform?

Answer: B

Explanation:
Prompt injection directly targets chatbot interactions by manipulating inputs to override instructions or extract sensitive information, making it a primary and immediate risk in customer- facing AI systems.


NEW QUESTION # 81
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