Blog
Thoughts on identity, permissions, and accountability for autonomous AI systems.
AI agent identity is the cryptographic proof that a specific agent initiated a specific action. Not a username. Not an API key. A verifiable, unforgeable binding between an agent instance and every action it takes.
AI agents running in production have full access to your APIs, databases, and payment systems — with no identity, no permission boundary, and no audit trail. This is the root access problem of the AI era.
The AI infrastructure stack has compute, orchestration, memory, and observability. But there's one critical layer that's still missing: identity and permission control for autonomous agents.
Your LLM agents have access to your production APIs, databases, and payment systems — with no identity, no permission boundary, and no audit trail. Here's why that's a crisis waiting to happen.
API keys identify deployments. Session tokens identify sessions. Neither identifies an LLM agent. Cryptographic identity — an Ed25519 keypair per agent — is the only mechanism that provides unforgeable, auditable proof of which agent did what.
Revoking a compromised or misbehaving AI agent should take seconds, not hours. Here's the architecture behind instant agent revocation — and why rotating API keys is not enough.
Auth0, Okta, and AWS IAM were built for humans who log in. AI agents don't log in — they spawn, act at machine speed, and terminate. The authorization model must be fundamentally different.
Get notified when we publish new articles on AI agent security and infrastructure.
