AI gateway, policy engine, MCP supply-chain protection, real-time DLP and cost control — consolidated into one auditable control plane that sees and governs every AI request as it happens.
Governing every model your teams already use
Watch requests, blocked attempts and DLP redactions in real time.
Learn more →Every principal mapped, connected and continuously risk-scored.
Learn more →Govern every Model Context Protocol server your agents touch.
Learn more →Discover, score and govern every AI agent and MCP server.
Learn more →Route any model through the gateway with one set of keys.
Learn more →





Write a rule once — it protects every team, every model and every request, from a single control plane.
Every request from every model — chat, agents and MCP tool calls — routed through one inline enforcement point, so nothing reaches a provider unseen or unlogged.
Composable CEL policies evaluated at runtime, versioned and testable, so the same rule protects every team and every model without a single code change.
PII, secrets and source code detected and redacted in flight — on every prompt and every response — before a single token crosses your perimeter.
Trust graphs and lethal-trifecta detection across every Model Context Protocol server your agents reach, with policy enforced on each individual tool call.
Access certifications and the full lifecycle for every principal — human and non-human — with periodic reviews, attestations and one-click revocation.
Per-team token attribution, hard ceilings and a throttle mode that keeps enforcement running even after the budget is spent — security never lapses.
Route 2,000+ models and 500+ MCP servers & tools — OpenAI, Anthropic, Gemini, Mistral and any OpenAI-compatible endpoint — through a single control plane.
Built and operated in Finland, deployable as EU-hosted SaaS or fully on-premise — engineered against the regulations your auditors actually ask about.
Everything you need to know about the Roder control plane.
Spin up an EU-hosted trial in under an hour, or talk to the team that built it. Either way, you'll see every request by the end of the day.
From the browser to the gateway, a tour of how Roder discovers the AI tools nobody told you about, and brings them under one policy.
Most shadow-AI problems are not malicious. They are a Tuesday.
Someone pastes a customer contract into a free chatbot to summarise it before a call. A developer drops a stack trace with live keys into an assistant. None of it is on a list anyone approved, and that is the point. By 2026, 98% of organisations have employees using unsanctioned AI tools. Verizon’s 2026 DBIR found that shadow-AI detections rose roughly fourfold in a single year. Yet only about a quarter of organisations have comprehensive visibility into how their people actually use AI. When a breach involves shadow AI, it adds hundreds of thousands of dollars to the bill.
Every shadow-AI strategy starts in the same place: discovery. Not a survey, not an honour system, but actual signal from where the traffic is. Roder watches two vantage points at once, the browser and the gateway, and reconciles them into one picture.

A lightweight plugin flags AI tools in use on managed devices: the ChatGPT tab, the Claude side-panel, the coding assistant.
Each outbound AI request is tagged by provider, model and risk, sanctioned or not, the moment it crosses the wire.
Humans, agents and MCP servers land in a single inventory you can actually query, not a spreadsheet from last quarter.
One click moves a discovered tool from seen to governed: routed through the gateway, logged, and DLP-scanned.
Discovery is only step one. The point is to bring usage under policy without a heavy-handed ban that just pushes people to their phones. Roder routes sanctioned use through the gateway with DLP on secrets and PII inline, and blocks the rest, so people keep their tools and you keep an EU AI Act-ready audit trail.
Discover every tool across browser and gateway, then bring it under one policy.