AutoPIL Documentation
Runtime governance for autonomous AI agents — enforce data-access policy at the retrieval layer and prove every decision with a tamper-evident audit trail.
AutoPIL Documentation
Govern the context. Trust the agent.™ AutoPIL enforces data-access policy at retrieval time — before sensitive data reaches an agent's context window — and records every decision in a tamper-evident audit trail.
Getting Started
Install AutoPIL and protect your first retrieval in minutes.
Core concepts
Architecture, enforcement flow, multi-tenancy, and agent identity.
Policy guide
Write and manage the policies that govern every request.
SDKs & integrations
Connect AutoPIL to Python, Go, Java, MCP, and your frameworks.
API reference
Authenticate and call the governance API directly.
MCP Server
Connect AI assistants to your documentation using the Model Context Protocol.