As organizations deploy more AI and LLM workloads on Kubernetes—the importance of runtime security has never been greater. Since most AI inference and fine-tuning jobs run inside containers, securing your Kubernetes workloads effectively means securing your AI workloads.

In this session, we’ll explore KubeArmor, an open-source runtime security system purpose-built to enforce zero-trust execution and fine-grained policies across Kubernetes environments. You’ll see how KubeArmor can help safeguard not just microservices, but also AI pipelines, model-serving containers, and GPU-powered inference nodes.