Govern: Continuous AI Risk Control

Govern applies a transparent, context-aware interpretation methodology that converts technical metrics into clear risk ratings ready for decision making. Interpretation accounts for use case, system context, and the governance frameworks curated in Atlas.

AI systems and their environments change constantly - new model versions, evolving threats, new languages, growing knowledge bases. Pre-deployment tests can't keep up on their own, and in-the-wild evaluations on real traffic are needed to supplement comprehensive but artificial pre-launch testing. Some regulations, like FINMA 08/24, explicitly require ongoing monitoring. Govern automates this loop by re-triggering Eval and Secure on a schedule or in response to system, data, or threat events.

Yes. Govern exposes an external API to push interpreted risk ratings into existing GRC platforms, feed custom dashboards in your own tooling, or generate one-time risk reports.

Evaluation tools generate raw results but stop short of interpretation. Observability and monitoring platforms capture lots of production data but lack evaluation depth and governance-aligned interpretation. Govern combines context-aware interpretation - backed by the framework registry in Atlas - with easy integration into the rest of your stack as a trigger, data source, or result destination.

Govern interprets results from Eval, Secure, and Discover. Interpretation methodology is curated in Atlas. Together they close the loop on continuous, governance-aligned AI risk control.