NIST AI RMF
Content provenance in the NIST AI Risk Management Framework.
How Verbitas supports AI RMF transparency and explainability.
Important: NIST AI RMF alignment requires organizational policies, governance structures, and processes that go beyond technical infrastructure. Verbitas supports the technical layer; organizational alignment is the customer's responsibility.
The NIST AI Risk Management Framework (AI RMF 1.0) provides voluntary guidance for managing risks associated with AI systems. The GOVERN, MAP, MEASURE, and MANAGE functions include transparency and explainability objectives that are supported by content provenance infrastructure.
Key requirements
GOVERN — Transparency policies
Organizations governing AI systems should establish transparency policies for AI-generated content. Verbitas provides the technical infrastructure to implement these policies.
MAP — Content provenance context
Content provenance records provide context for AI outputs: what model generated the content, when, and under whose authority. This supports the MAP function's context-gathering objectives.
MEASURE — Audit evidence
The Verbitas audit log provides measurable, verifiable records of provenance operations. This supports the MEASURE function's evidence requirements.
MANAGE — Incident traceability
When AI-generated content causes harm, provenance records enable traceability to the source. Verbitas provides the technical infrastructure for this post-incident investigation capability.
How Verbitas helps
Verbitas provides content provenance infrastructure that supports NIST AI RMF transparency objectives. It is not a compliance tool and does not guarantee AI RMF alignment.
NIST AI RMF and content provenance.
Verbitas provides the technical infrastructure. Compliance is your responsibility.