NIST AI RMF — The U.S. risk-management blueprint for trustworthy AI.
Operationalize Govern, Map, Measure, Manage — and evidence the trustworthy-AI characteristics across every system you run.
The obligations.
Govern
Policies, accountability, and culture around AI risk.
Map
Context, scope, and impact of each AI system.
Measure
Metrics, testing, and assessment of risk.
Manage
Prioritize, treat, monitor, and respond to risk.
Classification, documentation, control mapping, and continuous evidence.
Hydrus is the governance and audit-evidence layer — not a runtime enforcement tool.
Trustworthy-AI characteristics
Valid & reliable; safe; secure & resilient; accountable & transparent; explainable; privacy-enhanced; fair with bias managed.
Function-level mapping
Controls and evidence tied to specific NIST functions.
Cross-framework crosswalks
NIST ↔ EU AI Act ↔ ISO 42001 ↔ AIUC-1 mapped on day one.
Continuous monitoring
Measure and Manage stay current as systems evolve.
See how Hydrus turns compliance work into evidence.
Walk through AI governance, sustainability reporting, or the shared platform layer with a Hydrus specialist.
AI governance · Sustainability reporting · Audit evidence