About Wardrail

Wardrail is building a local-first security and observability layer for autonomous AI agents. Our initial focus is developer tool execution: deterministic permissions, structured action evidence, and incident investigation.

Our principle is simple: security decisions should not depend on a model’s opinion. We aim to enforce policy at supported execution boundaries, distinguish recorded events from inference, and publish reproducible evaluations with explicit limitations.

Help shape the first release.

Join early access to follow Wardrail development for real agent workflows.

    Wardrail — AI Agent Security & Action Evidence