Microsoft Reactor

Building AI-powered workflows is only the first step making them secure, reliable, and scalable is where most developers run into challenges. The AI Gateway in Azure API Management provides enterprise-grade tools to expose AI workloads safely and efficiently.

In this session, you’ll learn how to manage token quotas, semantic caching, safety policies, and authentication, ensuring that your AI services perform reliably under load while staying secure. We’ll demo how to wrap AI services in API Management, apply policies for rate limiting, monitoring, and cost control, and optimize AI workload performance in production.

By the end, you’ll have practical patterns and examples for turning AI capabilities into secure, production-ready APIs that your teams can confidently consume.