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.
Most teams treat the AI Act as a policy problem. Treat it as a logging problem, and each obligation becomes a query you can actually run.
A regulator does not want your intentions. They want your logs.
The EU AI Act entered into force on 1 August 2024 and arrives in stages. The ban on unacceptable-risk practices and the AI-literacy duties applied from February 2025. Obligations for general-purpose AI models have been live since 2 August 2025. The largest wave lands on 2 August 2026, when the transparency duties and the Commission’s enforcement powers take effect, with fines reaching €35 million or 7% of global annual turnover. The 2026 Omnibus agreement pushed some Annex III high-risk deadlines out to December 2027, but the direction of travel is fixed: if you run AI in Europe, you will be asked to show your work.
Read Articles 8 to 15 as an engineer and they stop sounding like policy. They read like a specification for what your system must record. Each duty on the left has an answer on the right that is simply a query against an audit trail.
This is the whole difference between saying “we comply” and proving it. When a supervisor asks how a system behaved, the answer should be a query that returns signed records, not a workshop that produces a slide deck.
Roder ships Compliance Packs for GDPR, the EU AI Act, DORA, NIS2 and EHDS as policy sets and evidence templates, and every request already produces the underlying record. The regulation becomes configuration rather than a scramble, because the evidence was being written the whole time.
See how Roder turns each obligation into signed, EU-resident evidence you can export on demand.