Defense · NIST AI RMF · MAP
NIST AI RMF · MAP for defense AI workflows
NIST AI RMF · MAP in defense AI workflows: what compliance requires, who asks for evidence, and the records to keep.
01 / The rule
What NIST AI RMF · MAP requires
Organizations adopting the AI RMF; MAP is done per AI system by the teams that design, develop, deploy or procure it.
- 01Document intended purposes, deployment settings, applicable laws and norms, mission goals and risk tolerances (MAP 1.1, 1.3, 1.5).
- 02Define the AI system's tasks and methods and document TEVV considerations, including data representativeness (MAP 2.1, 2.3).
- 03Document expected benefits, costs, targeted application scope and human oversight processes (MAP 3.1, 3.3, 3.5).
- 04Map technology and legal risks of all components, including third-party data, software and models (MAP 4.1, 4.2).
- 05Characterize likelihood and magnitude of impacts on individuals, groups, communities, organizations and society (MAP 5.1).
02 / In this sector
In a defense AI workflow
AI-specific. It frames the context and impacts of a particular AI system before measurement and treatment.
Program office leads and ATO-package owners.
NIST AI RMF · DoW RAI · OMB M-25-21.
03 / Records
Records to keep
- 01AI system context statement: purpose, users, deployment setting
- 02AI system categorization and documented application scope
- 03Component and third-party risk mapping
- 04Impact assessment with likelihood and magnitude estimates
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.
A disclosure shown, a review signed, a model change approved: the event your system reports.
The event becomes a sealed receipt, dated and attributed to whoever is signed in.
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.
SOURCES
Go back to the source
National Institute of Standards and Technology
National Institute of Standards and Technology
NIST Trustworthy and Responsible AI Resource Center
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