Either your developers are running ahead with AI, and you can't see what they're doing, or your company has paused AI adoption to put governance in place first. Underneath both is the same truth: AI agents are a new kind of identity, and the tools that exist weren't designed to control them.
Proxies don't see local tool calls. EDRs don't see interior LLM traffic. IdPs treat an autonomous agent like one more user with a token. These control models were built for humans.
Ceros is the control plane for the agents already in your stack. It runs alongside Claude Code, Cursor, Codex, and Copilot, and gives you:
Discovery: See every agent installed or running on your endpoints, every MCP server they talk to, every tool they call. Sanction what's safe, block what isn't.
Provenance: Trace every session back to the user, device, and agent behind it. Every LLM call, MCP request, and tool argument gets logged.
Runtime governance: Set policy on which agents can launch, which tools they can call, and which MCP servers they can reach. Sessions that cross policy boundaries get alerted, degraded, or killed in real time.
Provider flexibility: Wire up Anthropic and OpenAI side by side so a single provider's outage doesn't stop your team from shipping.
Hundreds have signed up to establish simple AI governance across their org.
