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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Governance and Program Management | 31% | - AI Governance Foundations
|
| Topic 2: AI Risk Management | 31% | - AI Risk Assessment
|
| Topic 3: AI Technologies and Controls | 38% | - Data and Model Controls
|
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NEW QUESTION # 169
Which of the following BEST enables an organization to maintain visibility to its AI usage?
Answer: C
Explanation:
The AAISM framework stresses that the most effective way to maintain oversight of organizational AI usage is by maintaining a comprehensive inventory of all AI systems and the business units using them. Such an inventory provides a centralized, transparent record of where AI is deployed, ensuring accountability, monitoring, and compliance. While board approval, dashboards, and KPIs are important governance tools, they do not provide holistic visibility across the enterprise. The inventory ensures traceability and governance alignment, making it the best method to maintain visibility of AI usage.
NEW QUESTION # 170
An organization plans to leverage AI in the software development process to speed up coding. Which of the following should the information security manager do FIRST?
Answer: D
Explanation:
AAISM guidance specifies that before introducing AI into any business or technical workflow, an AI Impact Assessment must be conducted early to determine potential risks, privacy implications, misuse scenarios, governance gaps, and required security controls. This aligns with the principle that AI adoption must begin with governance and risk identification, not training or policy modification.
Training developers (B) is important but occurs after identifying risks. Updating policies (C) is also downstream of the assessment. Cost-benefit analysis (D) supports business justification but does not address security.
References: AAISM Study Guide - AI Governance; Impact Assessment Required Before Deployment.
NEW QUESTION # 171
An organization has implemented a natural language processing model to respond to customer questions when personnel are not available. A pre-implementation security assessment revealed attackers could access sensitive company data through a chat interface injection attack. Which of the following is the BEST way to prevent this attack?
Answer: B
Explanation:
To prevent prompt/interface injection, AAISM prioritizes preventive technical controls at the boundary:
input validation/sanitization, structured templates/system prompts, allow/deny lists, and context isolation. These measures constrain user-supplied content and block adversarial instructions from being interpreted as system directives. Monitoring (A) and audits (D) are detective/assurance activities; manual output review (B) is compensating but less scalable and does not prevent injection.
References: AI Security Management (AAISM) Body of Knowledge - Secure Prompting & Input Controls; Interface Injection Mitigations; Context and Instruction Isolation Patterns.
NEW QUESTION # 172
Which proactive control BEST mitigates the risk of memory poisoning in agentic AI systems?
Answer: A
Explanation:
Enforcing validation before persistence helps prevent malicious or manipulated information from being stored in the agent's memory. This proactive control ensures that only trusted and verified data is retained, directly mitigating the risk of memory poisoning attacks.
NEW QUESTION # 173
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?
Answer: C
Explanation:
AAISM directs organizations to manage third-party AI risks through contractual and technical controls that explicitly govern data use, retention, training/fine-tuning, isolation, and deletion. The most effective data-security action when consuming generative AI features is to require enforceable opt-out provisions that prohibit the provider from using the organization's data for training or secondary purposes and that mandate retention limits and secure deletion.
NEW QUESTION # 174
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