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.
Built in Helsinki for regulated European enterprises — no US Cloud Act exposure.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.
Cost controls that switch off the WAF under load are not a saving. They are a vulnerability with a finance ticket attached.
There is a tempting shortcut in every AI platform under cost pressure. When the bill spikes, you start turning things off.
AI spend is famously unpredictable. What worked for a demo at a hundred requests a day falls over when real users generate thousands of unbounded calls, so every serious gateway now ships spend limits, circuit breakers and fallback chains. That is good engineering. The danger is what gets shed first when the cap is hit, because the cheapest-looking thing to drop is almost always the security layer. DLP scanning, injection detection and policy evaluation all cost compute. Turning them off to flatten a graph trades a budget line for a breach.
The right pattern is well understood. Fail-open versus fail-closed should be chosen per endpoint, never system-wide. A data-retrieval path can degrade to a cached or cheaper response. A security control cannot. The failure mode that quietly bites teams is the silent one: a fallback that keeps serving traffic while the enforcement meant to inspect it has been skipped to save cycles.
“A control that switches off under load was never a control. It was a demo.”
Throttle, queue and downgrade models freely. Never bypass enforcement to buy latency or cost.
No global kill switch that takes the WAF down with the rate limiter. Each path declares its own failure mode.
A budget cap should bound spend, not security posture. They are two different control planes and must stay that way.
DLP and injection checks are part of the request, not an optional add-on you switch off to make a month look better.
In Roder, budget ceilings degrade performance (request rate, model tier, concurrency) while the WAF, policy engine, lethal-trifecta defense and GDPR controls stay on when overage hits. Cost governance and security governance are separate by design, so a finance decision can never silently become a security one.
See how Roder bounds AI spend without ever turning enforcement off.