Platform Architecture
A security-first identity and access management layer purpose-built for autonomous AI agents. Every request is authenticated, authorized, and audited before it reaches an LLM provider.
System Overview
Every AI agent request flows through the AI Identity Gateway before reaching any LLM provider. The gateway enforces policy, manages credentials, and writes an immutable audit record.
Key Architectural Properties
The design decisions that make AI Identity suitable for enterprise-grade, compliance-sensitive environments.
Fail-Closed Enforcement
Any error in the policy evaluation pipeline results in an automatic deny. Agents cannot bypass controls, even during partial outages.
Tamper-Evident Audit Trail
Every audit record is cryptographically chained using HMAC-SHA256. If any record is altered, the chain breaks — making tampering detectable and provable.
Zero-Trust Key Separation
Runtime keys used by agents are fully separated from administrative keys. Compromising one does not compromise the other.
Credential Vault
LLM provider API keys are stored in an encrypted vault. Agents never see or handle raw credentials — the gateway injects them at request time.
Tenant Isolation
Row-level security ensures each tenant's data is completely isolated. One customer's agents, policies, and audit logs can never leak into another's.
Real-Time Policy Enforcement
Policy decisions are evaluated inline with less than 50ms of added latency. No queued evaluation, no eventual consistency — enforcement happens before the request proceeds.
Security Layers
Defense in depth — multiple independent layers ensure no single failure compromises the system.
TLS Everywhere
All traffic is encrypted in transit using TLS 1.2+. No plaintext communication between any components.
JWT Authentication
Every API request is authenticated via signed JSON Web Tokens with short-lived expiration and audience validation.
Rate Limiting
Configurable per-agent and per-tenant rate limits prevent abuse and protect downstream LLM provider quotas.
Policy Enforcement
Fine-grained rules control which agents can access which models, with what parameters, and under what conditions.
Encrypted Credential Storage
All sensitive credentials are encrypted at rest using AES-256. Decryption only occurs in-memory at request time.
Immutable Audit Chain
HMAC-SHA256 chained records create a tamper-evident log. Any modification to historical records is cryptographically detectable.
Compliance Alignment
Built from the ground up to satisfy the requirements your security and compliance teams care about most.
SOC 2
Architectural principles aligned with SOC 2 Trust Services Criteria.
- -Logical access controls with key separation
- -Immutable, tamper-evident audit trail
- -Encrypted data at rest and in transit
- -Tenant isolation with row-level security
NIST AI RMF
Designed to support the NIST AI Risk Management Framework principles.
- -Complete observability of AI agent actions
- -Policy-based governance and enforcement
- -Cryptographic integrity for accountability
- -Fail-closed design for reliability
EU AI Act Ready
Infrastructure controls that support EU AI Act obligations for high-risk AI systems.
- -Human-in-the-loop policy overrides
- -Full audit log for traceability
- -Transparent enforcement decisions
- -Data residency-aware architecture
Ready to see it in action?
We'd love to walk you through a live demo and discuss how AI Identity fits into your stack.