NIST AI RMF
The voluntary framework for AI risk management — covering governance, risk identification, mitigation, and continuous evaluation. Increasingly cited by regulators and required by enterprise AI buyers.
Mapped, monitored, and audit-ready.
Every NIST AI RMF control has a place in Talarity — with cross-mapping, automated evidence, and continuous validation.
Talarity's pre-built control library covering NIST AI RMF, with linked evidence, owners, and testing schedules.
Answer once, prove everywhere. Talarity's mapping engine reuses your evidence across every framework you run.
- Model cards and system cards
- Training data lineage and provenance records
- Bias testing and fairness evaluation results
- Incident logs (hallucinations, harmful outputs, data leakage)
- Human-in-the-loop and override records
What gets easier with Talarity.
AI risk doesn't fit into your existing risk register — but the board is asking about it weekly.
AI-specific risk taxonomy built in, mapped to AI RMF outcomes. Hallucination, bias, data leakage, model drift — all first-class risk types.
You have model cards in a Notion page, evaluation results in a Google Doc, and no audit trail.
Model and system cards live as structured records with version history. Evaluation runs attach as evidence; changes route through approval workflows.
Generative AI added a new dimension of risk that the original AI RMF didn't fully cover.
Talarity ships the NIST GenAI Profile alongside AI RMF 1.0. Run them together; the profile's controls layer onto the core.
AI vendors send you their AI Bill of Rights statement instead of evidence.
Vendor AI risk module captures model attributes, training-data scope, and use-case restrictions — and reassesses on every model update.
Ready to ship NIST AI RMF?
A 30-minute walkthrough shows exactly how Talarity handles this framework end-to-end.