Privacy & Trust
Most health AI platforms promise privacy. Agnes proves it. Our architecture ensures patient data stays protected — structurally, not by policy.
How we protect your data
Scope step-down architecture
Every request passes through an authorization kernel that reduces scope at each layer. Shared AI agents receive only what they need — with patient identity redacted before it ever reaches them.
Workload identity
Every service authenticates using SPIFFE/mTLS — cryptographic proof of which service is calling. No API key sharing, no service account reuse.
Full audit trail
Every data access, every query, every delegation is logged with cryptographic timestamps. You don't have to trust us — you can verify.
Security
End-to-end encryption
Data encrypted in transit (TLS 1.3) and at rest (AES-256). Keys managed per-tenant.
Zero-trust network
No implicit trust between services. Every request authenticated and authorized independently.
Scoped tokens
Every operation gets a token carrying only the permissions it needs. No over-privileged service accounts.
Regular audits
Security posture reviewed continuously. Infrastructure-as-code ensures reproducible, auditable deployments.
Compliance
Agnes is designed for regulatory compliance from the ground up — not retrofitted after the fact. Our architecture enforces data handling rules that exceed current requirements.