AI Gateway — the missing control plane for post-adoption AI
AI adoption has already happened; governance has not caught up. An AI gateway gives security leaders a single point to see, govern, protect and optimise every AI interaction — from shadow AI to autonomous agents.
Five problems you likely have right now
These are the symptoms of AI adoption that outpaces governance. Any security leader recognising two or more should evaluate a gateway as the consolidating control.
Anatomy of an AI gateway
A gateway inserts a single, policy-aware layer between applications and every model provider. Think of it as the DNS, WAF and API management of the AI era — a choke point where security, cost and reliability controls converge.
Which approach fits your organisation?
There is no single product shape. These three archetypes describe how AI traffic control is commonly delivered — most organisations land on one, sometimes two.
Capability matrix
The capabilities that matter when evaluating any AI gateway offering — grouped by the outcome they deliver. Switch to the relation view to see how each capability connects to a governance outcome.
How an AI gateway helps organisations
Real-world problem patterns, the gateway solution, and the outcome delivered.
Emerging use cases to watch
As agentic AI scales, machine identities multiply and regulation lands, the gateway's role keeps expanding. These are the forward-looking use cases security leaders should have on their radar.
Where does your AI governance stand?
Answer a short series of questions across six domains to get a gateway readiness score, per-domain maturity, and a prioritised roadmap. Save the result to your reports for your leadership deck.