This article details how to implement enterprise-grade security for Large Language Model (LLM) calls using Azure services. It outlines an architecture that places Azure API Management in front of an LLM inference endpoint, with Entra ID acting as the authorization server. This setup leverages OAuth 2.0 to manage access, ensuring that applications receive temporary, restricted tokens instead of direct access to the LLM. AI
IMPACT Provides a method for securing LLM endpoints, crucial for enterprise adoption and safe deployment of AI applications.
RANK_REASON Article describes a technical implementation for securing LLM calls using existing services, rather than a new release or significant industry event.
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