Test AI models before and after deployment, catch problems when vendors update, and automatically route requests to safer options when risk rises.



The security testing engine continuously evaluates models and feeds findings into the quality platform and routing policies.



Security notes: encryption in transit/at rest, configurable retention, and enterprise access controls (RBAC/SSO/SAML and audit logs) as part of the security roadmap.