Vendor-agnostic by design
Choose supported model providers and MCP tools. Keep policies and approvals in an independent control layer as those choices change.
Swiss-built AI security & governance
AI moves fast.
Keep control.
The hosted boundary layer between your teams, agents and AI services. Govern model access, tool use and sensitive data across a vendor-agnostic AI stack.
Swiss-based. Sovereignty by design.
AI Warden / Control planePolicy enforced
YOUR AI WORKSPACE
AI applicationsBusiness agentsMCP clients
AI Warden GatewayOne approved path for AI
IdentityPolicyDLPAudit
LLM providersMCP toolsHosted agents
identity → decision → evidenceArchitecture illustration
Sensitive data detectedRequest blocked before model delivery
Blocked
Open standards. Independent control.
OpenAI-compatibleMCPICAP / DLPOIDCVendor agnostic
The control gap
Your AI stack is growing.
Your controls should keep up.
Every new model, agent and tool introduces access, data and cost decisions. AI Warden connects discovery and governance to enforcement on the AI traffic you route through it.
Protect the AI path
Inspect prompts, responses and tool traffic. Enforce identity-aware security policies before requests reach their destination.
Explore AI security ↗Keep usage accountable
Centralize provider credentials, apply token limits and human-user budgets, and report estimated model costs.
Explore cost control ↗Show how AI is governed
Connect AI inventory to business owners, approval workflows, operating controls and request-level evidence.
Explore governance ↗Policy in the request path
From intent to action.
With control at every step.
Know who is asking, what they can access and how the request was handled.
A prompt contains a secret.
A user sends a prompt to an approved model alias. An inline rule detects an API key and blocks the request before it reaches the provider.
Explore the LLM Gateway
Policy decisionRequest blocked
-
01
IdentifyAuthenticated user
-
02
ResolveApproved model alias
-
03
InspectSecret detected
-
04
EnforceBlock before upstream
- Principal
- Authenticated user
- Surface
- LLM Gateway
- Rule
- Secret detection
- Decision
- Blocked
A tool call exceeds its permissions.
An agent attempts a tool method outside the configured allowlist. The MCP firewall denies the call and records the policy decision.
Explore the MCP Gateway
Policy decisionTool call denied
-
01
IdentifyAgent principal
-
02
ResolveRegistered MCP server
-
03
AuthorizeMethod not permitted
-
04
EnforceDeny tool invocation
- Principal
- Agent identity
- Surface
- MCP Gateway
- Rule
- Method allowlist
- Decision
- Blocked
An agent is ready for review.
A business team builds an agent using approved models and tools. Publishing moves through a review workflow so ownership and approval stay on the record.
Explore Agent Fleet
Policy decisionReview required
-
01
BuildInstructions & knowledge
-
02
ConfigureApproved model & tools
-
03
SubmitPublishing review
-
04
RecordApproval evidence
- Owner
- Business team
- Surface
- Agent Builder
- Control
- Publishing approval
- State
- Pending review
Your DLP. Now in the AI path.
The data policies
you trust. Where
AI needs them.
Connect your enterprise DLP through ICAP. Inspect model and MCP traffic on the way out and on the way back, with identity and policy context attached.
Explore enterprise DLP integration
REQUEST & RESPONSE INSPECTION
Your AI workflow↓AI Warden Gateway↓Approved model / MCP tool
Your enterprise DLPICAP · REQMOD / RESPMOD
AllowModifyBlock
Enforcement decisions recorded with the request.
Inspection is configurable. Enabled ICAP checks fail closed on inspection errors.
One connected platform
Models. Tools. Agents.
Under the same control plane.
Start with the AI path that matters most to your business. Bring the rest under the same identity, policy and governance model.
LLM Gateway
OpenAI-compatible model access, centralized credentials, inline controls and usage reporting.
Discover LLM Gateway ↗MCP Gateway
Register, scan, approve and govern the MCP servers and methods your agents use.
Discover MCP Gateway ↗Agent Fleet
Build and host governed agents. Discover and review Azure AI Foundry agents alongside your own fleet.
Discover Agent Fleet ↗AI Governance
Link inventory and ownership to controls, reviews, approvals and audit evidence.
Discover AI Governance ↗Swiss-based. Sovereignty by design.
Your AI stack.
Your boundaries.
Keep control of provider choice, data paths and policy as your AI stack evolves. AI Warden brings independent governance to the services your business chooses.
Explore sovereignty & securitySovereignty across the data path
Approve where AI requests go and what data may leave. Align hosting, provider endpoints, log retention and access with your sovereignty requirements.
A hosted solution, built in Switzerland
Adopt AI Warden as a hosted service from a Swiss-based company. Agree hosting location, data handling and operational responsibilities during your security review.
Expanding the agent ecosystem
More platforms.
A shared governance model.
Azure AI Foundry discovery and governance are available today. Planned integrations will extend agent discovery and governance to Snowflake, Atlassian and Salesforce, with more platforms to follow.
See AI Warden in action
Give AI room to work.
Keep the boundaries clear.
See model access, MCP tool control, DLP inspection and governance evidence in one technical walkthrough.