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DoW RAI S&IP vs NIST AI RMF: how they differ, side by side

How DoW RAI S&IP and NIST AI RMF differ: what each is, who owes it, when it applies and who enforces it.

DoW RAI S&IPInternal departmental strategy; directs DoD components, no direct duty on contractors

NIST AI RMFVoluntary framework

Checked21 Oct 2026

01 / Side by side

DoW RAI S&IP and NIST AI RMF, side by side

	DoW RAI S&IP	NIST AI RMF
What it is	guidance	voluntary framework
Jurisdiction	United States (federal)	United States (federal)
Legal force	Internal departmental strategy; directs DoD components, no direct duty on contractors	Voluntary framework
Status	In force	Published standard
Applies from	June 2022	26 Jan 2023
Who owes it	DoD (styled Department of War since September 2025) components and the Chief Digital and AI Officer (CDAO), which leads Responsible AI implementation.	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	Internal DoD oversight by CDAO and component leadership; GAO and Congress review implementation. No penalties.	None; voluntary. Contracts, agency policies or other laws may reference it.

02 / DoW RAI S&IP

What DoW RAI S&IP requires

AI-specific. It is DoD's main plan for putting AI ethics into practice for AI systems the department builds, buys and fields.

01Apply the DoD AI Ethical Principles (responsible, equitable, traceable, reliable, governable) across the AI lifecycle.
02Designate Responsible AI leads in each DoD component and resource the lines of effort assigned to that component.
03CDAO provides department-wide Responsible AI guidance, tools and coordination, and tracks implementation progress.
04Build warfighter trust through test and evaluation, assessment and monitoring of AI capabilities.
05Integrate Responsible AI into AI product development and acquisition, including requirements validation.
06Develop metrics for Responsible AI adoption and report progress to the CDAO governing council.

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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