Keydris is a proof-of-authority platform designed for AI agents. It supplies agents with verifiable proof of their authorized scope, policy, and permissions so that businesses and institutions can validate these details before any action takes place.
The system centers on the Keydris Gateway, which issues each agent a scoped kit based on policies defined in the Keydris App. Agents include the kit with every tool call. A lightweight Kit Reader middleware, installed on top of an MCP server, checks the kit against the gateway. This process determines whether the action proceeds or is blocked at the Kit Reader before reaching the server. The flow explicitly distinguishes verified agents, whose authorized actions continue, from unverified ones, which are denied.
Keydris addresses the liability that arises when agents act without provable authority. Traditional software was built for human users who click buttons and can be reviewed in real time. Autonomous agents operate faster than human oversight and interact directly with systems that do not tolerate errors. The platform therefore supplies trust infrastructure that can be proven and revoked before harm occurs, supporting an autonomous economy that cannot rely on assumed trust.
In the AI & ML space, Keydris takes a focused approach. It focuses on verifying and enforcing the authority and permissions of autonomous AI agents before they take potentially harmful actions on MCP servers and tools. It is built as a B2B product for developers and security teams managing AI agents. Keydris is sold on an enterprise-only basis. Keydris is available on the web and API, and it can be self-hosted.
Keydris builds and maintains Keydris, and it first shipped in 2025. Key capabilities include Agent Authorization, Policy Enforcement, and Kit Reader Middleware. It exposes integrations via an MCP server and a public API. Access is currently waitlist-only.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Same category — not a similarity match