NIST AI RMF Guide

Mapping, Measuring, and Managing AI Risk

The Four Core Functions of NIST AI RMF

The NIST AI Risk Management Framework (RMF) is rapidly becoming the de facto standard for US organizations. It operates on four core functions: Govern, Map, Measure, and Manage.

Achieving "Trustworthy AI" requires addressing characteristics like privacy, safety, and security. Sinaptic.AI maps directly to these functions.

1. Govern

GOVERN 1.1: Policies and processes are in place. Sinaptic.AI is the technical manifestation of your data governance policy. It turns a written rule ("Don't share secrets") into a hard constraint.

2. Map

MAP 1.5: Risks related to the AI system's third-party components are identified. By scanning browser traffic, Sinaptic.AI helps map where data is flowing—identifying the "context of use" for AI in your organization.

3. Measure

Can you measure your data leakage risk? With Sinaptic.AI Enterprise logs, you can quantify how many times employees attempted to paste PII into GenAI tools. This turns "risk" into a metric.

4. Manage

MANAGE 2.4: Risks to the system and from the system are treated. Sinaptic.AI is a primary management control for the privacy and security characteristics of Trustworthy AI. It actively manages the risk by intervening in the data flow.

Conclusion

The NIST AI RMF is voluntary but essential. Implementing controls like Sinaptic.AI moves your organization from theoretical alignment to practical application of the framework, ensuring your AI systems are not just powerful, but trustworthy.

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