
Model evaluation, safety, access controls, audit logs, human approval, data policies, prompt/version management, cost controls, and monitoring.
The policies, controls, and monitoring that keep AI systems safe, auditable, and compliant — from access control to prompt versioning.
Any organization deploying AI in regulated or customer-facing contexts, or scaling past a few experiments.