Govern what your AI agents do.
Optimize what they consume. Control what they spend.

Policy enforcement, DLP, and cost controls for AI agents. A transparent proxy across OpenAI, Anthropic, Bedrock, Vertex AI, and more, with no code changes. Pre-deployment code audit and MCP supply-chain review included.

RenLayer platform dashboard showing agent monitoring and governance

They govern their agents with us

The platform

Three modules. One control plane.

From the moment you write your agent to the moment it runs in production. Inspect, Screen, and Govern work together so security, platform, and finance teams share the same control plane.

Govern

Govern every agent in production

A transparent proxy across OpenAI, Anthropic, Bedrock, and Vertex. Policies, DLP, full audit trails, and token-level cost optimization without changing your code.

  • Policy enforcement and DLP on every request
  • Real-time visibility, full audit log, kill switch
  • Automatic compression and prompt-cache optimization to cut tokens
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Govern every agent in production Govern every agent in production
Inspect

Audit your agent before it ships

Connect a GitHub repo and we review the agent's code in depth: secrets, prompt-injection patterns, runaway tool loops, vulnerable dependencies, and cost-impact estimates.

  • Multi-layer review combining static analysis and AI-assisted inspection
  • Per-finding remediation, severity, and estimated monthly cost impact
  • Detects whether the agent routes through RenLayer or directly to providers
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Audit your agent before it ships Audit your agent before it ships
Screen

Screen MCP servers before agents use them

Submit any MCP server repository and get a multi-layer security review across code, dependencies, secrets, and misconfiguration, with a structured risk verdict.

  • Findings grouped by category: dependencies, code, secrets, misconfig, supply-chain
  • Configurable scan depth per tenant: conservative, moderate, aggressive
  • Risk score and AI-generated executive summary on every audit
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Screen MCP servers before agents use them Screen MCP servers before agents use them

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 less than 10ms of latency 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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