Enterprise-Grade Security for AI Agents
AI Identity is built with security as the foundation, not an afterthought. Zero-trust architecture, encrypted credential management, and tamper-evident audit trails — designed for regulated industries.
Zero-Trust Architecture
Every request is authenticated and authorized before processing. No implicit trust, no shortcuts. The gateway validates agent identity, checks policy, and logs the result before any request reaches an LLM provider.
Fail-Closed by Default
If something goes wrong during policy evaluation — timeout, error, ambiguity — the request is denied. Agents cannot bypass controls, even during partial outages. Security is the default, not the exception.
Encrypted Credential Vault
LLM provider API keys are stored encrypted at rest (AES-256) and only decrypted in-memory at request time. Agents never see or handle raw provider credentials.
Tamper-Evident Audit Trail
Every audit record is cryptographically chained using HMAC-SHA256. Each entry includes the hash of the previous entry, creating an unbroken chain. Alter one record and the chain breaks — making tampering detectable and provable.
Tenant Isolation
Row-level security at the database layer ensures complete data isolation between tenants. One customer's agents, policies, keys, and audit logs can never leak into another's — even in the event of an application-level vulnerability.
Key Separation
Organization keys (for management) and agent keys (for LLM requests) are fully separated. Compromising an agent's runtime key does not grant access to management operations or other agents.
Compliance Alignment
Built to satisfy the frameworks your security and compliance teams care about most.
SOC 2 Type II
Architecture alignedLogical access controls, tamper-evident audit trail, encryption, tenant isolation.
NIST AI RMF
Framework supportedAgent observability, policy governance, cryptographic integrity, fail-closed design.
EU AI Act
High-risk readyHuman oversight, traceability, transparent enforcement, audit log export.
Want the full security deep-dive?
Read our architecture documentation or schedule a call with our team to discuss how AI Identity fits your security requirements.