Define what is approved
The control plane manages identities, registries, credentials, policy and review workflows.
Platform overview
One control plane.
Across your AI stack.
A hosted boundary layer for models, MCP tools and agents. Bring vendor-agnostic access, inline enforcement and governance evidence into one Swiss-built platform.
AI Warden platformGoverned
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01
AI accessApplications, users and agents
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02
Control planeIdentity, registries, policy and approvals
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03
Gateway enforcementLLM / MCP inspection and routing
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EvidenceUsage, decisions and governance reviews
Identity · Policy · EvidenceWorkflow illustration
Connected capabilities
Start with one AI path.
Build a shared control model.
LLM Gateway
Give applications approved model access with inline controls and usage accountability.
Explore LLM Gateway ↗MCP Gateway
Register, scan and govern the tools your agents use.
Explore MCP Gateway ↗Enterprise DLP
Connect ICAP inspection to model and MCP traffic.
Explore Enterprise DLP ↗Agent Fleet
Build governed agents and review discovered Azure AI Foundry agents in one fleet.
Explore Agent Fleet ↗AI Governance
Link AI inventory to ownership, controls and evidence.
Explore AI Governance ↗How the platform fits
Policy in the control plane.
Enforcement in the gateway.
Apply controls to routed traffic
The gateway resolves identities and targets, applies configured firewall and scanning policies, and proxies supported LLM and MCP traffic.
Keep evidence connected
Review per-request decisions, token usage and estimated cost alongside ownership, approvals and governance reviews.
Build sovereignty into the operating model
Use AI Warden as a hosted service. Align hosting location, approved providers, identity, retention and DLP integration with your requirements. Review the end-to-end data path with our Swiss-based team.
See AI Warden in action
Make your next AI rollout a governed one.
Bring your models, tools and security requirements. See how AI Warden puts them under one control plane.