NIST AI RMF

Govern, Map, Measure,
Manage. With evidence.

The NIST AI Risk Management Framework is a voluntary, widely-used way to organize AI risk into four functions. Northbeams gives each of them something most teams lack: real data instead of a questionnaire.

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Browser · Desktop · CLI · MCP · Network
What it is

A voluntary framework, built to be practical.

The AI RMF was published by NIST as guidance, not a regulation. There is no certificate at the end. Its value is the structure: four functions that turn "manage AI risk" into concrete activities. Northbeams maps cleanly onto each.

The four functions

How Northbeams supports each function.

Govern
The culture and policy that runs through the other three. Northbeams gives you the plain-language policy composer, Model Governance, and one immutable, signed log, so governance is evidenced, not just declared.
Map
Establish context and inventory. One install maps every AI tool across browser, desktop, CLI, and MCP, attributed to a person. This is the map, kept current daily.
Measure
Analyze and track risk. On-device classification flags credentials, PII, source code, and customer data, each with a severity and an estimated exposure value.
Manage
Act on the risk you found. One-click block, allow, or sandbox by tool, team, and model, plus Response Actions that reach browser, desktop, and DNS.
Why data beats a questionnaire

Most AI RMF work stalls at Map.

You cannot measure or manage what you never mapped, and most inventories are a survey nobody trusts. Northbeams starts you with a real map in 24 hours, so the other three functions have something to act on.

  • •First full sweep back within 24 hours, no proxy or network change
  • •Per-user attribution across all four surfaces plus the DNS layer
  • •Every action captured on an immutable, signed log
  • •One-click export for your GRC platform or your board
The NIST AI RMF is voluntary guidance, not a law or a certification. Northbeams supports the framework with data and evidence, it does not certify you against it, and this is not legal advice. The evidence pack is part of your evidence library. We are a tool, not an AI provider, so your risk picture depends on how your team uses AI.
Choosing a framework

RMF or a certifiable standard?

Teams often run the AI RMF alongside a certifiable management system. If you are deciding between them:

Voluntary, US-origin
The AI RMF is US-origin guidance you self-attest to. ISO 42001 is an international standard you certify against. Many teams use both.

Give your AI RMF program real data.

Map in 24 hours. Measure and manage from facts. See it free.

See your shadow AI free →Book a demo