What Is an AI Gateway?
Instead of each application handling authentication, logging, rate limiting, and content inspection on its own, requests are routed through the gateway, which enforces policy and monitors usage across every AI interaction. This becomes more valuable as organizations connect a growing number of applications and agents to multiple models and providers, at which point instrumenting each one individually stops being practical.
Why It Matters
- A gateway is the natural enforcement point for security controls that would otherwise need to be rebuilt inside every application that calls a model.
- It gives security teams one place to see traffic across providers, rather than piecing together logs from each integration separately.
- As more of an organization's AI traffic flows through agents and internal tools rather than a single chat interface, the case for a centralized checkpoint gets stronger, not weaker.