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.
The resilience rules barely mention AI. That is the trap. Your AI usage already falls inside them.
Nobody passed a special law for your chatbot. They did not need to.
DORA has applied to financial entities since January 2025 and is now in its first real supervisory enforcement cycle. NIS2 sets a cybersecurity baseline across critical sectors, with national transposition and compliance obligations culminating in an October 2026 deadline. For firms in scope of both, DORA acts as lex specialis and takes precedence where the two overlap. None of these regimes carve out AI. In January 2026, Germany’s BaFin made that explicit: AI systems, including generative models and LLMs, are not a separate regime. They must be embedded into existing ICT governance, testing and third-party risk frameworks, with documented model monitoring, access controls and resilience testing.
You do not need an AI clause to be on the hook. Each existing requirement already reaches your models, your providers and your prompts.
Shadow AI is what turns all of this from paperwork into exposure. Usage you cannot see cannot be registered as a third party, reported as an incident, or tested for resilience. The first question in any DORA or NIS2 review is some version of “show me,” and unmanaged AI traffic is usually the gap in the answer.
Roder produces the third-party register, the incident trail, the resilience evidence and the SIEM export from a single inline gateway. Compliance Packs map DORA and NIS2 to concrete controls, so the overlap between them is handled once rather than maintained twice.
Register, log, test and report on every AI provider from one inline control plane.