Keydris adds authorization layer for AI agents calling external tools

AI agents present a novel liability that traditional software authorization frameworks do not address. While every previous category of software was built for humans clicking buttons and reviewing actions, agents act at machine speed—faster than any human can validate, against systems that do not forgive mistakes. The core problem Keydris addresses is that trust by assumption is no longer sufficient when an agent can cause damage in milliseconds.

Keydris positions itself as infrastructure that sits at the boundary between the agent and the tool it calls, creating a verifiable chain of proof around every action. Each authorization decision is cryptographically signed and immutable, with revocation built into the verification process itself rather than as a separate administrative function. This approach answers the questions that security and compliance leaders already ask: which actions were actually authorized and by whom, what happens when authority is revoked, and what record would be handed to an auditor. The system's output—signed records of every decision—is generated automatically as the system operates, not assembled after the fact for compliance review.