A security layer between your AI agents and the tools they access — enforce policy, prevent data leaks, audit everything.
01
Role-Based Access Control
Define roles with specific tool permissions. Each user sees only the tools their role allows.
Least-privilege enforcement
02
Policy-Based Tool Filtering
YAML-driven policies control which tools are exposed to which agents and users.
Declarative security rules
03
Data Loss Prevention
Automatically detect and block sensitive data patterns in tool arguments before they reach upstream services.
PII and secret protection
04
Structured Audit Logging
Every tool call, policy decision, and DLP event is logged with full context for compliance and forensics.
05
MCP Protocol Native
Built for the Model Context Protocol. Sits between AI clients and MCP servers as a transparent security proxy.
06
Docker-Ready
Ship with Docker Compose, Makefile, and health checks. Production-ready in minutes.