Quick Answer
The NIST AI Risk Management Framework (AI RMF) is the correct choice because it is the official AI governance framework developed by the U.S. National Institute of Standards and Technology to help organizations manage AI risks through a structured process of mapping, measuring, and managing trustworthiness characteristics. This framework stands apart from other governance models by focusing specifically on the unique risks of AI systems, such as bias, transparency, and explainability, rather than general IT security. On the CompTIA AI+ AI0-001 exam, this question tests your ability to distinguish between governance frameworks—a common trap is confusing NIST’s AI RMF with the NIST Cybersecurity Framework (CSF), which addresses broader security risks rather than AI-specific concerns. To remember this, think of the acronym “RMF” as “Risk Management for AI,” and note that NIST is the only U.S. government agency that produces this specialized guidance.
This AI0-001 practice question tests your understanding of ai security, ethics and governance. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which AI governance framework is specifically designed by the U.S. National Institute of Standards and Technology (NIST) to help organizations manage AI risks?
ISO/IEC 27001
Why wrong: ISO 27001 is for information security management, not specific to AI.
COBIT
Why wrong: COBIT is for IT governance, not AI-specific.
NIST AI Risk Management Framework
NIST AI RMF is the U.S. standard for AI risk management.
GDPR
Why wrong: GDPR is a data privacy regulation, not a governance framework.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
NIST AI Risk Management Framework
NIST AI Risk Management Framework (AI RMF) is a comprehensive framework for AI risk assessment and mitigation.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
ISO/IEC 27001
Why it's wrong here
ISO 27001 is for information security management, not specific to AI.
COBIT
Why it's wrong here
COBIT is for IT governance, not AI-specific.
NIST AI Risk Management Framework
Why this is correct
NIST AI RMF is the U.S. standard for AI risk management.
Related concept
Static NAT maps one inside address to one outside address.
GDPR
Why it's wrong here
GDPR is a data privacy regulation, not a governance framework.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI0-001 NAT questions on configuration and troubleshooting.
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FAQ
AI Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — Static NAT maps one inside address to one outside address..
The correct answer is: NIST AI Risk Management Framework — NIST AI Risk Management Framework (AI RMF) is a comprehensive framework for AI risk assessment and mitigation.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI0-001 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 23, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.
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