AI Gateway
One control plane beneath every AI front door.
Glean AI Gateway brings AI front doors under a single control plane, with access to 40+ frontier and open models, the enterprise-quality context that makes AI work better, and the security and visibility to roll it out safely everywhere.
One control plane for models and MCP
AI usage is spreading across the enterprise with no common governance layer. Glean AI Gateway gives one plane to control model traffic and tool access across every AI front door.
Security built for enterprise AI
Keep every LLM request, MCP tool call, and skill secured and governed, with prompt injection protection and controls for restricted topics (beta).
Quality context, not just transport
The AI Gateway adds context from Glean’s Enterprise Graph to give every AI surface a shared, accurate picture of how your apps, data, people, and workflows connect.
AI observability
See where every token goes.
Glean AI Gateway breaks consumption down by model, user, and app, so you can see where spend goes, which MCP servers and tools are running, and who’s using them.
Model hub
Improve token efficiency through model choice.
Access 40+ frontier and open models through one governed layer, improving token efficiency, avoiding provider lock-in, and giving teams faster access to the latest models.
Enterprise Graph
Give AI better context everywhere.
Glean indexes your enterprise data into a graph that maps relationships across your organization, so every AI surface works from accurate, relevant context.
In head-to-head evaluations, Glean was preferred 78% of the time versus Claude Cowork and saved 81% on token costs.
How Glean AI Gateway works
01
Connect
Connect 40+ models, 275+ connectors, enterprise context, memory, and skills via MCP through a governed layer (skills coming soon).
02
Govern
Protect LLM and MCP traffic from prompt injection, filter harmful LLM content, and apply restricted topic controls to LLM interactions (beta).
03
Deploy
Roll out models and tools across AI surfaces to the whole organization through MDM, with no per-app setup.
04
Observe
Track AI like the rest of your infrastructure: request volume, latency, and errors by model, plus token and tool consumption by user and app.
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