Employees, applications and agents reach models through one controlled layer. Every request is priced and attributed, checked on the way out so data does not leak, and on the way back so nothing hidden takes over.
People signed up for their own accounts because the work needed doing, and applications hard-wired one provider each. Nobody can now say what the organisation asks AI, what it costs, or what has left the network — and banning it only pushes that further out of sight.
One connection for commercial, open-weight and self-hosted models. Applications stop depending on a single vendor.
Route by task, quality, sensitivity and cost. Reserve premium models for work that needs them.
Every request tagged to a user, team, project or application, with hard and soft limits and alerts before the ceiling — so AI is a budget line, not a surprise invoice.
Inspect, redact or block sensitive content before it leaves your network — by policy, not by trust.
Content coming back from a model or a fetched document is treated as untrusted. Instructions hidden in it cannot silently trigger a tool call or a write.
Every request, model, decision and cost queryable later for a compliance or incident review.
People keep the models they rely on, through an account the organisation can see. Adoption goes up and exposure goes down at the same time — nobody has to give up a tool.
Sensitive content is caught before it leaves, and what comes back is treated as untrusted, so a hidden instruction cannot turn a helpful answer into an action nobody approved.
Every request is attributed to a team, project or application, with limits set before the invoice arrives instead of explained after it.
Most exposure does not come from your applications — it comes from people doing their job through accounts nobody can see. Put your team behind the Gateway first, then the applications and agents.