Come join my updated Black Hat class in Las Vegas, "Agentic AI-Aided Kubernetes Attack and Defense!" Kubernetes and AI are more tightly-coupled than you think - about two thirds of organizations hosting generative AI models use Kubernetes to manage inference workloads (CNCF). And Kubernetes is growing in popularity for hosting streamable MCP servers and remote agents. We're going to have a blast with new cutting-edge exercises that integrate AI agents into attacking and defending Linux, containers, and Kubernetes. We'll also be attacking a multi-user agentic AI system running on Kubernetes, using both direct and indirect prompt injections, gaining access to the cluster, and adding indirect prompt injection backdoors to the vector database. As in all the other exercises, we'll turn around and harden the system against this. You can learn more and register here: blackhat.com/us-26/training/… Here's an excerpt of the class description: Learn how to use agentic AI to aid you as you attack and defend Kubernetes, Linux, and containers, from Jay Beale, who has led development of the Kubernetes CTF at DEF CON and the open source Kubernetes attack tool: Peirates. In this fully hands-on course, you'll get an x86 computer to keep, complete with an agentic AI framework, Kubernetes clusters, and capture the flag virtual machines, which you will attack and defend. You'll also get access to our cloud environment, allowing you to attack cloud-based Kubernetes clusters. This well-reviewed training focuses on giving you practical attack skills from real penetration tests, coupled with solid defenses to break attacks. You'll create an agentic AI platform with skills and tools that allow your agents to enumerate a cluster, analyze configuration weaknesses, and recommend attack paths. Every topic in the class has an attack exercise, where you will first compromise a Kubernetes cluster or application. Most have a matching defense exercise, where you will use new skills to break that attack, confident that it will break others.