TL;DR: Arcade protects AI agent tool execution with delegated identity, scoped tool access, and governance. Today we're extending that security model with Contextual Access: runtime hooks that let you inject your own security, compliance, and filtering logic directly into the tool execution pipeline across three hook points, via any webhook on every tool call.
We spend a lot of time thinking about how to safely give AI agents access to real systems. Some of that is personal curiosity, and some of it comes from the work we do at Arcade building agent infrastructure—especially the parts that tend to break once you move past toy demos. So when Docker released Docker Sandboxes, which let AI coding agents run inside an isolated container instead of directly on your laptop, we wanted to try it for real. Not as a demo, but on an actual codebase, doing the k
