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NIST AI Risk Management Framework

Practice: Data & AI · Type: Framework

The NIST AI Risk Management Framework (AI RMF) is a voluntary US framework for managing the risks of AI systems, structured around four functions: Govern, Map, Measure and Manage. Celeredge scores AI risk practice across the AI RMF functions and the characteristics of trustworthy AI, then ranks the gaps in governance and measurement.

Benefits​

  • Scored on the NIST AI RMF's own scale — not a generic rubric.
  • Every score is traceable to the client's own evidence.
  • Gaps in governance and measurement are ranked by severity, ready to become the plan.
  • A board-ready slide deck and detailed HTML report are generated automatically.
  • Re-runnable, so improvements across the four functions are measurable over time.

When to use it​

  • A client wants to score and strengthen AI risk-management practice across Govern, Map, Measure, and Manage.
  • An organisation is building an AI risk programme and needs a baseline against a recognised framework.
  • Leadership wants assurance that AI systems are being managed against the characteristics of trustworthy AI.
  • A US-aligned, voluntary AI risk benchmark is preferred over a regulatory readiness check.

What it assesses​

Celeredge scores AI risk practice across the AI RMF functions and the characteristics of trustworthy AI:

  • Govern
  • Map
  • Measure
  • Manage

Expected output​

Per-function maturity scores on the NIST AI RMF's own scale; a confidence level and evidence citations behind every answer; gaps ranked by severity; and a board-ready slide deck plus a detailed HTML report. See Maturity Scoring, Reports, and Deck Studio.

How to use it in Celeredge​

  1. Collect evidence — see Evidence Collection.
  2. In Diagnose, select NIST AI Risk Management Framework.
  3. Run it and watch it stream — see Running Assessments.
  4. Review answers with confidence + citations and accept the ones you trust.
  5. Send gaps to Plan — see Gap Analysis.

FAQ​

What is the NIST AI Risk Management Framework?​

The NIST AI Risk Management Framework (AI RMF) is a voluntary US framework for managing the risks of AI systems, structured around four functions: Govern, Map, Measure and Manage.

What does a Celeredge NIST AI RMF assessment deliver?​

An evidence-based maturity assessment scored on the NIST AI RMF's own scale, with gaps ranked by severity and an auto-generated, board-ready slide deck and detailed report — every score traceable to the evidence behind it.

How does the assessment work?​

Clients upload their own evidence — policies, reports, and data. An AI interviewer asks targeted follow-ups to fill anything missing, the platform scores against the framework, ranks the gaps, and generates the deliverables.

Celeredge runs an independent readiness and alignment review against this framework. It is not a certification audit and is not endorsed by the standard's owner. Framework and standard names are trademarks of their respective owners.