API gateway vs AI gateway: Where AI governance meets execution
API Gateways provide a controlled path into backend services and can apply security and traffic policies as requests move through the system. AI introduces additional runtime decisions because applications may interact with different models whose access, usage, and outputs require their own controls.
Agents stretch that boundary further because they can move beyond generating an answer and interact with tools or other systems. The gateway, therefore, has to govern not only how traffic moves but also what an AI system is permitted to do at runtime.
API gateway vs AI gateway: extension, not replacement
API Gateways already solve an important enterprise problem. They give applications a controlled route to backend services and provide a place to handle authentication, authorization, routing, traffic limits, security policies, and monitoring (IBM, 2024).
The same gateway model can be adapted to AI workloads. An AI Gatewayis a specialized layer for managing interactions between applications...
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