Azure API Management can be used to govern production AI by implementing controls such as token limits, content safety measures, telemetry, caching, and policy enforcement. This approach allows for unified management across various AI models, MCP tools, and A2A agents, preventing the need for a separate gateway. AI
IMPACT Provides a centralized method for managing and securing AI model deployments.
RANK_REASON Article describes a product feature for managing AI services, not a core AI release or research.
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