Security that spans the whole control plane
Encryption, identity, secrets management, and policy enforcement aren't per-agent concerns — they're platform primitives every agent inherits.
Security in AI systems tends to get re-solved per feature. The result is inconsistent. A platform security layer consolidates the primitives — identity, encryption, policy, secrets — so every agent automatically benefits when they improve.
What the layer provides
- 01
Identity everywhere
Humans and agents both have identities in your IdP, federated through SSO, with conditional access.
- 02
Encryption in flight and at rest
All traffic is TLS; all storage is encrypted with customer-managed keys; all backups inherit the same policies.
- 03
Secrets with lifecycle
API keys, tokens, and credentials are stored in a vault with rotation, revocation, and lease semantics.
Capabilities
Zero-trust network
No implicit trust boundaries. Every service-to-service call carries an authenticated identity.
Secret rotation
Credentials rotate on a schedule without human involvement; compromised keys revoke in minutes.
Unified audit
Every auth decision, policy check, and data access is in one stream — SIEM-ready.
Threat model
Published, versioned threat model covers prompt injection, data exfiltration, and tool abuse paths — with tested mitigations.