Check public exposure and authentication settings on AI resources.
Confirm content filtering policies are active and blocking flagged content.
Track quota pressure and key management settings.
Clear, prioritized steps to close every posture gap.
Reduce AI Attack Surface
Identify AI-native risks and publicly exposed endpoints to uncover misconfigurations and eliminate exposure before attackers target them.
Audit content filter policies
See which deployments have content filter policies configured and track aggregate blocked requests. Identify unprotected deployments that may return unfiltered outputs in production.
Configuration-level guardrails, covered end to end
Beyond network exposure, authentication, and content filtering, TENET checks two more configuration-level guardrails on every Azure AI resource.
Quota pressure
Flag deployments running close to their token or request quota, since capacity pressure is itself a posture risk — a throttled deployment can fail over to a less-governed resource.
Encryption and key management
Audit encryption-at-rest and key management settings on AI resources, including whether keys are customer-managed or Microsoft-managed and where they are stored.
Secure and optimize AI workloads at scale
Get complete visibility across your Azure AI stack from day one and eliminate AI risk with a single platform.