Securing AI-Enabled AKS Workloads with Azure API Management
Details
Modern cloud-native applications often need to expose secure, scalable APIs while integrating advanced AI capabilities — and doing this correctly in production requires the right architectural patterns.
In this session, we’ll walk through how to design and implement a production‑grade architecture where Azure API Management acts as the secure front door for applications running on Azure Kubernetes Service (AKS), and those workloads safely consume Azure OpenAI services.
You’ll see how these components fit together in a real-world design, including:
- How API Management enforces governance, security, rate‑limiting, and central API control
- How AKS workloads authenticate and communicate with Azure OpenAI using best‑practice identity and network isolation patterns
- How to build a scalable, secure, and maintainable architecture suitable for enterprise environments
Whether you're a cloud engineer, architect, or developer, this session will give you practical insights into combining AKS, APIM, and Azure OpenAI into a cohesive, production‑ready solution.
Join us to learn how to bring AI‑powered capabilities into your Kubernetes applications — safely, securely, and at scale.