NIST AI RMF, Operationalized With Runtime Governance
The NIST AI Risk Management Framework tells you what trustworthy AI looks like. Fintra provides the operating layer - governing agents, scoring trust, and recording decisions - that turns its functions into evidence.
What the NIST AI RMF is
The NIST AI Risk Management Framework (AI RMF 1.0) is a voluntary framework for managing risks of AI systems. It is organized around four functions - Govern, Map, Measure, and Manage - and a set of characteristics of trustworthy AI (valid, safe, secure, accountable, explainable, privacy-enhanced, fair). Like NIST CSF, there is no certificate; it is a structured way to build and demonstrate an AI risk program.
Who uses the AI RMF
- Organizations building an AI risk program the way CSF structures a security program
- US federal suppliers and enterprises whose buyers reference the AI RMF
- Teams that want a governance backbone that maps toward ISO 42001 and the EU AI Act
- Risk and compliance leaders who need AI risk described in outcomes
The four functions
| Function | Outcome | SentriAI capability |
|---|---|---|
| Govern | Culture, policy, accountability for AI | AI policy drafting, ownership, oversight |
| Map | Context and risk of each AI system | Agent inventory + risk register |
| Measure | Analyze and track AI risk | Continuous per-agent trust scoring |
| Manage | Prioritize and act on AI risk | Runtime allow/block/escalate decisions |
How Fintra helps you operationalize it
- Turn Govern into real policy, ownership, and management review
- Turn Map into an inventory of AI agents with contextual risk
- Turn Measure into continuous trust scores that move when an agent drifts
- Turn Manage into recorded runtime decisions and require-approval gates
Frequently asked questions
Is there a NIST AI RMF certification?
No - it is a voluntary framework with no certificate, like NIST CSF. Fintra helps you operationalize its Govern, Map, Measure, and Manage functions and produce the evidence, rather than issuing any attestation.
How is Fintra different from a policy-only AI governance tool?
Most AI governance tools stop at documents and questionnaires. Fintra also runs at the decision point: it governs what agents may do, scores their trust continuously, and records every decision - so Measure and Manage are backed by live evidence, not attestations.
Does the AI RMF map toward ISO 42001 and the EU AI Act?
Yes. The AI RMF is a common backbone that maps toward ISO 42001’s management system and many EU AI Act obligations. Fintra’s governance evidence supports all three from one operating layer.
Does Fintra replace my auditor or assessor?
No. Fintra is the control, policy, and evidence layer - it makes your program continuously audit-ready and cuts preparation from weeks to days. The audit, certification, or attestation itself is still performed by an independent, qualified auditor, assessor, or authorizing body.
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Turn AI RMF functions into evidence
Govern, Map, Measure, and Manage - backed by real runtime decisions.
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