Cryptographic identity and deterministic policy enforcement for every AI agent tool call. Not guardrails — access control.
An AI agent processes a document. Hidden inside: a prompt injection instructing it to wire $50,000. The agent follows the instruction.
Guardrails catch harmful content — “write me malware.” They cannot catch a legitimate financial operation performed by the wrong agent.
Wiring $50,000 isn’t harmful content. It’s an unauthorized action. No guardrail will catch it. Airlock will.
Content filter. Catches “write me malware.” Cannot distinguish authorized vs. unauthorized tool usage. Model-dependent — different LLM, different result.
Access control. Checks who is calling, what they’re calling, whether they’re authorized. Deterministic — same answer regardless of model.
The same access-control architecture that banks and defense use, applied to AI agent tool calls.
Intercepts every tool call. Allow or deny before execution. The agent never touches the tool directly.
Evaluates Cedar policies. Same input, same answer. Swap the model, swap the provider — enforcement stays identical.
Agent identity (Ed25519 DID), trust score, delegation chain. Cryptographic — not asserted, verified.
Define once. Enforce everywhere. No model dependency.
Every allow and every deny produces an Ed25519-signed record appended to a hash-chained audit trail. Tamper with one record and the entire chain breaks.
Open-source foundation. Enterprise-grade enforcement built on top.
Airlock is in early access. We work directly with design partners to integrate enforcement into production agent infrastructure.