NIST AI Risk Management Framework

01What it is

The NIST AI Risk Management Framework is a voluntary framework for identifying and managing the risks of AI systems across their lifecycle. It is not a law — but it has become a common reference point. When a regulator, a board, or an enterprise customer asks how you govern AI, alignment to the AI RMF is a credible, recognized answer.

02The four functions

The framework organizes work into four functions. Govern establishes the culture, policies, and accountability for AI risk. Map establishes context and identifies risks for each AI use case. Measure assesses and tracks those risks with appropriate methods. Manage prioritizes and acts on them. Together, they turn “we use AI responsibly” into something you can actually demonstrate.

03Generative AI

NIST has published a companion profile addressing the distinct risks of generative AI — including confabulation, data leakage, and AI-assisted social engineering. For firms shipping GenAI features, that profile is where governance meets the threats we see in practice rather than in theory.

04How it connects

The AI RMF pairs naturally with ISO 42001 — a certifiable AI management system — and with regulatory obligations like NYDFS Part 500, giving you a single structure that satisfies multiple audiences at once.

05What RedOps delivers

RedOps turns the framework into a working operating model — not a document that sits unread.