Azure Local - Simply Explained

Episode notes

As organizations rapidly adopt generative AI, the number of AI-powered applications, copilots, intelligent agents, and automation workflows continues to grow. What often begins as a single chatbot quickly expands into dozens of AI services connected to different models, APIs, business systems, and external providers. Without centralized governance, organizations face increasing security risks, inconsistent access controls, rising token costs, and limited visibility into AI usage. In this Microsoft Knowledge Nuggets episode, Mirko Peters explains Microsoft AI Gateway in plain English, demonstrating how Azure API Management provides a secure front door for enterprise AI traffic while simplifying governance, monitoring, and operational management. UNDERSTANDING MICROSOFT AI GATEWAY AND AZURE API MANAGEMENT Microsoft AI Gateway extends Azure API Management by introducing centralized control over AI traffic, model endpoints, intelligent agents, Model Context Protocol (MCP) tools, Agent-to-Agent (A2A) communication, and existing business APIs.

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