AI Gateway for Architecture Leaders: A 2026 Guide
Picture a support agent in production. It receives a user message, calls an internal knowledge base, decides it needs account data, calls a second tool, then drafts a reply and sends it. Five model and tool calls, start to finish, in about two seconds. Now picture a thousand of those running concurrently across a dozen teams, each wired up slightly differently, most holding their own API keys, few sharing any logging. That's the reality an AI gateway is built for, and it's why the topic has moved from infrastructure trivia to something architecture leaders are now expected to have a real answer on.
The Request Is the Attack Surface
With traditional software, you secure the perimeter and the data store. With LLM-based systems, the danger travels inside the request. A prompt can carry an injection payload. A tool response can smuggle in instructions the model then follows. A retrieved document...
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