RenLayer is the governance layer for AI agents. It sits between your agents (LangChain, AutoGPT, custom OpenAI-powered tools, MCP servers) and the outside world, capturing every prompt, response, and tool call so security and platform teams can apply policies, prevent data loss, and prove compliance.
Why agents need a governance layer
Modern AI agents take real actions on real systems: they call APIs, query databases, send emails, push code. Traditional security stacks were built for humans clicking and APIs called by stable client code, neither model fits an LLM that decides at runtime which tool to invoke and what payload to send.
Without a governance layer, security teams face three blind spots:
- No audit trail. You can’t answer “what did the agent do yesterday?” because logs live in scattered application code.
- No policy enforcement. Each agent enforces its own (often missing) guardrails. Updating a rule means redeploying every agent.
- No data-loss prevention. PII, secrets, and source code flow into third-party LLM providers without inspection.
What RenLayer gives you
RenLayer is built around three components that share one schema:
- The Proxy: an inline reverse proxy (Rust + Axum) that intercepts agent traffic, classifies actions, applies policies, and writes traces to the platform database. Operators run it as a sidecar, gateway, or standalone service.
- The Platform API: a multi-tenant REST API (Rust + Axum + PostgreSQL) that surfaces traces, policies, agents, API keys, and audit data to the console and to your own integrations.
- The Console: a Next.js dashboard for security and platform teams to investigate sessions, write policies, manage agents, and review the audit log.
All three are part of one product. The proxy writes; the API surfaces; the console renders.
Who uses RenLayer
- Security engineers writing the policies that allow, flag, or deny agent actions.
- Platform teams rolling out agents safely across business units.
- Compliance and risk officers who need an answer to “show me every action this agent took on regulated data this quarter.”
Where to go next
- Architecture: how the three components fit together.
- Quickstart: get your first agent governed in five minutes.
- Proxy overview: the inline enforcement layer.