NIST AI RMF Alignment

Govern, Map, Measure, and Manage AI action risk

NIST AI RMF is a voluntary framework for managing AI risk and improving trustworthy AI. DSG ONE supports NIST AI RMF-style workflows by placing deterministic controls, invariant checks, and audit evidence at the AI action execution boundary.

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Implemented

Govern

Execution control boundaries, role checks, approval expectations, and evidence requirements

Implemented

Map

Action context capture: actor, organization, tool, action, planId, and input hash

Implemented

Measure

Evidence: pass/fail gates, latency, invariant pass rate, benchmark score, and audit records

Implemented

Manage

Allow, block, or review actions before execution; commit final results into audit evidence

DSG ONE controls used in this alignment

Deterministic gate

Policy/risk/approval checks

Runtime invariant checks

requestHash and recordHash audit proof

Monitor Mode without DSG ONE custody of customer API keys

GitHub deploy gate for CI/CD risk control

Boundary

DSG ONE helps operationalize NIST AI RMF-style workflows. NIST AI RMF is voluntary and this page does not claim NIST certification.