One control plane. Your infrastructure.
Govern connected AI clients, model requests, and MCP tools with shared identity, policy, and audit. Keep the control plane in your environment as your choice of AI evolves.
Connect the execution path
Route supported clients through the model gateway and connect their MCP tools through governed endpoints. Bring requests under a common identity and permission model. Traffic that bypasses these endpoints remains outside the control plane.
Apply policy where actions happen
Configure access to models and tools, credential handling, and policy checks for governed calls. Review both allowed and denied outcomes when investigating a workflow.
Build on the same foundation
Add company-specific tools, jobs, APIs, and policies through Rust extensions. Your platform team can develop domain capabilities on the runtime that already hosts your governance.
Bring your deployment questions.
Discuss your clients, tools, and security requirements with the team building SystemPrompt.