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Verification register Security & Identity

Readiness verdict

NIST AI Risk Management Framework 1.0 (AI RMF 1.0)

A dated reading of what is claimed, reported, and independently verified in the current evidence.

As of
2026-08-20
Revision
1
Method
v1.3.0

Current reading

Readiness band and full integer triple

AI-assisted assembly · derived results

Readiness band

Ready

Primary summary from verified readiness

Confidence
54% · fresh
Computed at
2026-08-20T10:56:15.663859+00:00
Claimed
75

Public ambition and stated capability

Reported
69

Observed practitioner reporting

Verified
59

Independently supported evidence

Gap
+16

Claimed leads verified

Evidence strength Strong

Decision

What the current evidence supports

Human editorial judgment · 2026-08-20

Adopt with guardrails

Why
It is the most widely cross-walked, government-anchored voluntary AI governance framework in the US (18 months of development, ~400 public comments from 240+ organizations, still being operationalized under America's AI Action Plan in 2026) and is the base document the register's own NIST AI 600-1 profile builds on — but its voluntary, non-certifiable nature means it cannot stand alone as a compliance answer.
Next
Use AI RMF 1.0's Govern/Map/Measure/Manage functions as the organizing skeleton for internal AI governance, paired with a binding/auditable standard (ISO/IEC 42001 certification and/or EU AI Act conformity where applicable) and the GenAI Profile (NIST AI 600-1) for LLM-specific risk, since AI RMF alone provides no certification or enforcement mechanism.

Constraints

Blockers

No named blocker is present in the current public projection.

Evidence summary

Derived counts

AI-assisted assembly

Total
4
Tier 1
0
Tier 2
0
Tier 3
4
Supports
3
Contradicts
1
Context
0
Latest observed
2026-08-19

Counts and dates only. Raw signals, private excerpts, trust records, and internal corpus material are not published here.

Publication record

Revisions

Initial public reading

  1. 2026-08-20 Reading moved from ready to ready.

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