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Open-source AI agent firewall for MCP security: agent egress control, DLP, SSRF, and prompt injection defense.

Purpose

To secure AI agent workflows by acting as a firewall at the network boundary, preventing data exfiltration, prompt injection, and other security threats.

Features

  • 11-layer URL scanning pipeline
  • Process sandbox with OS-native primitives
  • Bidirectional MCP scanning
  • Signed action receipts for attestation
  • DLP and prompt injection detection

Use Cases

  • Securing API keys and credentials from AI agent exfiltration
  • Preventing prompt injection attacks on AI models
  • Auditing and attesting to AI agent actions
  • Integrating AI agents into regulated or high-security environments

Non-Goals

  • Replacing the AI agent itself
  • Providing AI agent development tools beyond security
  • Acting as a general-purpose network proxy without security focus

Quality Score

Verified
99 /100
Analyzed 14 days ago

Trust Signals

Last commit14 days ago
Stars584
LicenseApache-2.0
Status
View Source

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