Monitor the outcomes that matter for the approved use, not just whether the service is online. Consider error reports, unexpected actions, review overrides, complaints, and meaningful changes in output quality. Set thresholds for investigation and identify who can pause or restrict the feature. Keep enough context to connect an issue to the version and configuration in use while limiting unnecessary sensitive logging. Review whether the original approval assumptions still hold as users find new ways to use the feature.
Related: SOC 2 audit and compliance hub.
Further reading: NIST AI Risk Management Framework.
