# Squidbrake

> Apply rules and human approvals to AI agent actions

Squidbrake checks AI agent actions against a set of rules before they run. Routine work can proceed automatically, while actions that need review wait for a person to approve or reject them. The approval view explains the proposed change and records the request, the decision, and the surrounding sequence of activity.

Policies are written in YAML and can cover shell commands, coding tools, and connected MCP operations. The system also considers chains of actions, such as removing safeguards before deleting a resource. Teams can inspect live decisions, revoke access, and export an audit record. Squidbrake offers open-source self-hosting and hosted team options; enforcement depends on connecting the paths agents actually use.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/squidbrake
- Official website: https://squidbrake.com/get?ref=producthunt
- Category: Security & privacy / Application security testing
- Status: Launched
- Topics: AI, AI agents, Developer tools, Open source, Security
- Listing updated: 2026-10-30T16:53:45.736Z
- Information source: https://squidbrake.com/get?ref=producthunt

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.