NIST AI RMF Copilot
Navigate the NIST AI Risk Management Framework with clarity and confidence
Lo que el NIST AI RMF Copilot puede hacer
Understand the seven trustworthy AI characteristics defined in §3
Map AI system context and risks across MAP 1–5 subcategories
Identify TEVV gaps against MEASURE function outcomes and subcategories
Navigate GOVERN subcategories to clarify roles, policies, and risk tolerance
Track residual and third-party AI risks using MANAGE 1–4 outcomes
Interpret generative AI risk categories from the NIST AI 600-1 profile
About NIST AI RMF Copilot
The NIST AI RMF Copilot helps your team work through the GOVERN, MAP, MEASURE, and MANAGE functions of NIST AI 100-1. Whether you are establishing AI risk governance or assessing a deployed system, Copilot gives you framework-grounded guidance at every stage of the AI lifecycle.
Para quién está pensado
ISO 42001
The certifiable AI management system standard that operationalises AI RMF's GOVERN/MAP/MEASURE/MANAGE outcomes.
EU AI Act
Often paired with AI RMF: voluntary US risk framing plus binding EU obligations for high-risk AI systems.
NIST CSF
The cyber-side NIST framing — AI RMF borrows the function structure (GOVERN/MAP/MEASURE/MANAGE).
Preguntas frecuentes
What is the NIST AI Risk Management Framework?
The NIST AI RMF (NIST AI 100-1) is a voluntary framework published by the National Institute of Standards and Technology that helps organizations identify, assess, and manage risks associated with AI systems. It is organized around four functions — GOVERN, MAP, MEASURE, and MANAGE — and defines seven characteristics of trustworthy AI, including safety, fairness, and accountability (Part 1, §3).
How does the NIST AI RMF Copilot help?
Copilot helps you interpret specific subcategory outcomes — such as documenting risk tolerances (MAP 1.5), defining human oversight processes (MAP 3.5), or planning post-deployment monitoring (MANAGE 4.1) — so your team can apply the framework to your organization's context rather than treat it as a generic checklist.
Does the framework apply to generative AI systems?
Yes. NIST AI 600-1, the Generative AI Profile, extends the AI RMF by identifying risks that are unique to or exacerbated by generative AI — including confabulation, harmful bias, data privacy leakage, and information integrity — and maps those risks back to existing GOVERN, MAP, MEASURE, and MANAGE subcategories.
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