AI Agent

Claw Patrol

A security firewall that sits between AI agents and production, parsing wire traffic and gating actions with HCL rules.

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Claw Patrol

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What is Claw Patrol?

Claw Patrol is an open-source security firewall for AI agents. It intercepts agent traffic, parses protocols at the wire level, and enforces policy rules written in HCL to prevent unauthorized actions and data exfiltration.

Claw Patrol vs Similar AI Tools

Pricing ModelFreeFree, FreemiumFreeFree
Free Credits
Key Features
  • Wire-level traffic parsing for SQL (Postgres, ClickHouse), Kubernetes, HTTP, WebSocket
  • Policy enforcement using CEL expressions in HCL rules
  • Human-in-the-loop approval for sensitive operations
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Open source with permissive MIT license
  • Supports multiple protocols out of the box
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Requires self-hosting and infrastructure management
  • Configuration in HCL may have a learning curve
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
Best For
  • Teams deploying AI agents in production requiring security oversight
  • Organizations wanting to enforce compliance on agent actions
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

How to use Claw Patrol?

  1. 1Install via curl: curl -fsSL https://clawpatrol.dev/install.sh | sh
  2. 2Configure a gateway with an HCL config file.
  3. 3Run the proxy with `clawpatrol gateway config.hcl`.
  4. 4Join a gateway with `clawpatrol join <gateway-url>` or wrap an agent process with `clawpatrol run claude`.

Claw Patrol Key Features

  • Wire-level traffic parsing for SQL (Postgres, ClickHouse), Kubernetes, HTTP, WebSocket
  • Policy enforcement using CEL expressions in HCL rules
  • Human-in-the-loop approval for sensitive operations
  • Multiple deployment modes: gateway, join, run (per-process tunnel)
  • Support for WireGuard and Tailscale tunnels
  • Plugin system with sandboxed external plugins
  • Dashboard for monitoring and plugin management
  • Open source under MIT license

Claw Patrol Use Cases

  • Block destructive SQL queries like DROP TABLE from agent access
  • Require human approval before kubectl delete pod commands
  • Audit all HTTP requests made by an AI agent
  • Prevent agents from reading secrets via misconfigured endpoints

Claw Patrol Pricing & Free Credits

Claw Patrol currently operates on a Free model.

This tool is completely free to use

Open Source

Free

MIT license, self-hosted gateway

Claw Patrol Pros & Cons

Pros

  • Open source with permissive MIT license
  • Supports multiple protocols out of the box
  • Flexible rule engine using CEL expressions
  • Plugin system allows custom endpoint handlers
  • Human-in-the-loop approval adds safety

Cons

  • Requires self-hosting and infrastructure management
  • Configuration in HCL may have a learning curve
  • Early stage (v0.2.12), limited community
  • No built-in machine learning for anomaly detection

What is Claw Patrol best for?

  • Teams deploying AI agents in production requiring security oversight
  • Organizations wanting to enforce compliance on agent actions
  • Developers needing fine-grained control over agent traffic

Claw Patrol FAQ

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