Assessment framework · Data & AI
NIST AI RMF assessment
The NIST AI Risk Management Framework (AI RMF) is a voluntary US framework for managing risks of AI systems, structured around four functions: Govern, Map, Measure and Manage.
Score AI risk practice across the NIST AI RMF Govern, Map, Measure and Manage functions.
What it covers
Inside the NIST AI Risk Management Framework assessment.
Celeredge scores AI risk practice across the AI RMF functions and the characteristics of trustworthy AI, and ranks the gaps in governance and measurement.
- Scored on NIST AI Risk Management Framework's own scale, not a generic rubric
- Every score traceable to the client's own evidence
- Gaps ranked by severity, ready to become the plan
- A board-ready slide deck and detailed report, generated automatically
How it works
From the client's documents to a board-ready deck.
1 · Evidence in
Upload the client's documents: policies, reports, data. An AI interviewer asks targeted follow-ups to fill anything missing.
2 · Scored on the standard
Every dimension is scored on the framework's own scale, with each score traceable to the evidence behind it, and gaps ranked by severity.
3 · Board-ready out
A board-ready slide deck and HTML report are generated automatically: executive summary, maturity landscape and a sequenced plan.
Questions
NIST AI Risk Management Framework assessment FAQ
What is NIST AI Risk Management Framework?
The NIST AI Risk Management Framework (AI RMF) is a voluntary US framework for managing risks of AI systems, structured around four functions: Govern, Map, Measure and Manage.
What does a Celeredge NIST AI Risk Management Framework assessment deliver?
An evidence-based maturity or readiness assessment scored on NIST AI Risk Management Framework's own scale, with gaps ranked by severity and an auto-generated, board-ready slide deck and detailed report. Every score is traceable to the evidence behind it.
How does the NIST AI Risk Management Framework 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.
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See the NIST AI Risk Management Framework assessment on real data.
We'll run NIST AI Risk Management Framework live and score it from a client's own documents.