Compare

EO 14179 vs NIST AI RMF: how they differ, side by side

How EO 14179 and NIST AI RMF differ: what each is, who owes it, when it applies and who enforces it.

EO 14179Directs federal agencies; no direct private-sector duties

NIST AI RMFVoluntary framework

Checked21 Oct 2026

01 / Side by side

EO 14179 and NIST AI RMF, side by side

	EO 14179	NIST AI RMF
What it is	executive order	voluntary framework
Jurisdiction	United States (federal)	United States (federal)
Legal force	Directs federal agencies; no direct private-sector duties	Voluntary framework
Status	In force	Published standard
Applies from	23 Jan 2025	26 Jan 2023
Who owes it	White House advisers, OMB and federal agencies; it places no direct obligations on private companies.	Any organization that designs, develops, deploys, evaluates or uses AI systems and chooses to adopt it; no one is required to by the framework itself.
Enforcement	None directly; internal executive branch management. The order creates no enforceable rights.	None; voluntary. Contracts, agency policies or other laws may reference it.

02 / EO 14179

What EO 14179 requires

It is the policy root of the current federal AI rules for agency use and purchase. Compliance duties for AI systems come from the OMB memos it triggered, not from the order itself.

01Develop and submit an AI Action Plan to the President within 180 days (named White House advisers).
02Review actions taken under revoked EO 14110 and suspend, revise or rescind those inconsistent with the order's policy.
03Revise OMB memoranda M-24-10 and M-24-18 within 60 days to match the policy (OMB Director).
04Provide available exemptions while revisions of conflicting EO 14110 actions are pending (agencies).

03 / NIST AI RMF

What NIST AI RMF requires

AI-specific. It addresses risks such as validity, reliability, safety, security, accountability, explainability, privacy and harmful bias in AI systems across their lifecycle.

01GOVERN: set policies, accountability, culture and third-party controls for AI risk across the organization.
02MAP: establish each AI system's context, purpose, categorization, benefits, costs and impacts.
03MEASURE: select metrics and test, evaluate, verify and validate AI systems for trustworthiness characteristics; track risks over time.
04MANAGE: prioritize and treat AI risks, manage third-party risk, and monitor deployed systems with response and recovery plans.
05Optionally build use-case or sector profiles that select and tailor the subcategories that matter.

Optional evidence · where Planisphere fits

Keep a record anyone can check

When your team meets a duty, Planisphere can seal the event it reports as a receipt.

01 · Your teamRecord the event

A disclosure shown, a review signed, a model change approved: the event your system reports.

02 · PlanisphereSeal it

The event becomes a sealed receipt, dated and attributed to whoever is signed in.

03 · AnyoneCheck it

Paste the receipt into Verify. No account or key.

A record supports your compliance evidence process. It is not a legal finding or a certification. Systems that call Planisphere's gate API can also hold or refuse an action before it runs.

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