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NEW QUESTION # 124
A SaaS-based LLM system has risks including prompt injection, data poisoning, and model exfiltration. What is the BEST way to ensure consistent risk treatment?
Answer: A
Explanation:
AAISM highlights the importance of an AI threat-control matrix that:
- maps threats (e.g., poisoning, exfiltration, injection)
- identifies required controls
- defines assurance/testing activities
- ensures consistent coverage across all AI components
NEW QUESTION # 125
An organization is leveraging a third-party AI model to bring to market a new AI-enabled software solution. Which of the following represents the MOST significant risk in this scenario?
Answer: D
Explanation:
Ambiguous intellectual property rights and ineffective AI governance create significant legal, operational, and compliance risks when using third-party AI models. Unclear ownership, usage rights, accountability, and governance responsibilities can directly impact the organization's ability to securely and lawfully commercialize the AI-enabled solution.
NEW QUESTION # 126
When evaluating a new AI tool for intrusion prevention, which of the following is the MOST important consideration to ensure the tool fits within the existing program architecture?
Answer: C
Explanation:
The highest-priority fit criterion for introducing a new AI security capability is alignment to the organization' s established control objectives and program architectures. Control objectives encode what must be achieved (e.g., detection coverage, response timeliness, accountability, auditability) and are the basis for requirements traceability across governance, risk, and technical controls. Ensuring the tool's capabilities directly satisfy those objectives provides architectural fit, policy conformance, and measurable assurance. While integration (e.g., SIEM), detection features (e.g., real-time anomaly detection), and orchestration are important, they are secondary to proving the tool maps to-and can be verified against-the control objectives that define the program's intended outcomes.
References:* AI Security Management (AAISM) Body of Knowledge: AI Governance and Program Management - Security program alignment, control objectives, and requirements traceability* AI Security Management Study Guide: Control objective mapping, architecture fit criteria, and solution selection governance
NEW QUESTION # 127
Which of the following is the MOST important consideration when an organization is adopting generative AI for personalized advertising?
Answer: B
Explanation:
In AI program decisions that process personal data for targeted or personalized advertising, the primary governance obligation is to ensure regulatory compliance with data protection and profiling requirements.
AAISM emphasizes that when AI use cases involve personal data, regulatory risk is paramount because unlawful collection, consent failures, opaque profiling, or non-compliant automated decision-making can trigger enforcement actions, fines, mandated remediation, and restrictions on processing-risks that outweigh commercial or reputational impacts in both likelihood and severity for this use case. AAISM guidance requires upfront legal basis assessment, purpose limitation, data minimization, transparency, user rights enablement, and DPIA/AI impact assessments before deployment, making regulatory conformance the first- order decision criterion for personalized advertising with generative AI.
References:* AI Security Management (AAISM) Body of Knowledge: AI Governance-Compliance-by- design, lawful basis and purpose limitation for profiling; Impact assessments and consent governance.* AI Security Management Study Guide: Personal-data use cases, high-risk processing controls, regulatory risk prioritization in AI adoption decisions.
NEW QUESTION # 128
Which of the following AI system vulnerabilities is MOST easily exploited by adversaries?
Answer: B
Explanation:
AAISM study materials stress that weak access controls are the most easily exploited vulnerability in AI systems. Without strong access restrictions, adversaries can directly query, extract, manipulate, or overload models, leading to data leakage or compromised outputs. While inaccurate generalizations, DoS vulnerabilities, or susceptibility to input manipulation are serious, they typically require more effort or specific conditions. Weak access control provides the most direct and immediate entry point for attackers. As such, it is identified as the most easily exploited vulnerability.
References:
AAISM Exam Content Outline - AI Risk Management (Access and Authentication Vulnerabilities) AI Security Management Study Guide - Exploitable Weaknesses in AI Systems
NEW QUESTION # 129
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