Govern your agents. Discover your shadow AI.
See every LLM call. Stop every leak. Control every dollar.

A transparent proxy across OpenAI, Anthropic, Bedrock and Vertex that governs your registered agents. Egress capture and a Chrome/Edge extension cover everything else flowing through ChatGPT, Claude, Gemini or Copilot.

47+ DLP detectors · prompt-injection · per-user attribution · accurate token & cost data · zero SDK

RenLayer platform dashboard showing agent monitoring and governance

They govern their agents with us

The platform

Seven modules. One control plane for every agent and every LLM call.

Start with a free assessment that surfaces the shadow AI your employees already use and the agents quietly touching sensitive data. Then map each agent's blast radius, catch the toxic combinations regulators care about, enforce policy in real time, and hand the auditor immutable evidence, all from one console.

Shadow AI

Discover the AI your employees already use

Egress capture plus a Chrome/Edge extension surface every call to ChatGPT, Claude, Gemini or Copilot: who, what data, what it costs and what risk. Then approve or alert.

  • Captured via corporate egress, an MV3 browser extension and an SDK
  • Per-conversation risk scoring from LOW to CRITICAL with multi-turn reconstruction
  • Provider allowlist plus alerts for cost spikes, DLP bursts and new providers
Explore module
Discover the AI your employees already use
Activity Graph

Catch the toxic combinations before they fire

A live graph of which humans, agents, models and tools reach which sensitive data, with automatic detection of the lethal trifecta and an anonymous industry benchmark.

  • Blast radius: the exact data and tools every agent can reach
  • Toxic Combination Detection: untrusted input + sensitive data + autonomous action
  • K-anonymous benchmark to compare your posture against your sector
Explore module
Catch the toxic combinations before they fire
Agents

See and govern every agent in production

A live inventory of every agent, the models it calls, what it costs, and the MCP tools it uses, with a security audit on every MCP server before an agent connects.

  • Live fleet: status, provider, tokens, cost, latency and anomalies per agent
  • Session timelines that reconstruct every request an agent made
  • MCP Registry that security-audits third-party tool servers before use
  • EU AI Act classification and a ready-to-paste correction plan per agent
Explore module
See and govern every agent in production
Red Teaming

Prove your models resist attacks, continuously

Automated adversarial campaigns against a catalog of jailbreaks and injections, re-run on every model or knowledge-base change, with a measured success rate per category.

  • Reusable campaigns triggered on model change, KB change or schedule
  • Attack catalog: prompt injection, jailbreak, agentic-boundary and more
  • Multi-provider targets across OpenAI, Anthropic, Azure and custom endpoints
Explore module
Prove your models resist attacks, continuously
The complete platform

Designed for your security and performance

Private / Zero Risk

Install in minutes without touching your infrastructure. Works as a transparent proxy: disable it and everything keeps running.

Private / Zero Risk

Minimal Latency

Our proxy adds single-digit millisecond overhead to each request. Designed for production environments where every millisecond counts.

Minimal Latency

GDPR, CCPA & EU AI Act Ready

Full compliance with the main data protection regulations. Data residency in Europe, automated audit trails, and retention policies.

GDPR, CCPA & EU AI Act Ready

Helping Enterprises, SMBs and Startups

“I've been following RenLayer's research for a while now and it's genuinely impressive. Their approach to agent governance is what finally lets enterprises take these systems from prototype to production without huge risk, and the work they're doing on observability and token efficiency is exactly where the industry needs to go.”

Asier - Nvidia

“We run many different agents across several teams, from customer support to internal ops and sales, so each one needs its own set of rules. With RenLayer we finally have a single control plane where we can manage every agent's behavior, permissions and policies from one place.”

Felix - COO, Mirai

“Legal work runs on extremely sensitive documents, from contracts to personal data and confidential filings, so we need to know exactly what our agents are doing with that information at every moment. RenLayer gives us that visibility in production, and we recognized their work with our European Innovation Award because of how governance like theirs can really transform the legal industry.”

Deborah - AI Strategy Lead, Lefebvre

“As an integrator partner, we deploy AI agents for enterprise clients, and RenLayer gives us a governance and security layer that we can bring to every engagement by default. Thanks to that, our customers get enterprise-grade policy enforcement from day one and they don't have to build any of it themselves.”

Álvaro - Smartech

“The proxy architecture is brilliant. We didn't have to change a single line of our existing agent code, so the deployment felt zero risk, and with their onboarding team we were fully governed in under two hours.”

Laura - Engineering Lead, Asisa

“Before RenLayer we had no real visibility into what every team was spending on AI agents. Now we can track agent cost in real time across the whole company, set budgets per department, and we've cut our AI spend by more than 30% without slowing any team down.”

Ángel - CFO, Linasa

Recent Highlights

RenLayer team

RenLayer has an applied research team focused on building the future of agent implementation in companies.

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Start with a free AI security assessment