Bring security and visibility to AI on Kubernetes AI and ML workloads introduce unique challenges for Kubernetes teams managing high-performance, data-intensive applications. They require secure communication and reliable monitoring, along with protection from threats such as model poisoning and supply-chain compromise. In this hands-on workshop, you’ll use the Isovalent Enterprise Platform to secure AI pipelines running on Kubernetes. Practical exercises draw on the MITRE ATLAS and OWASP Top 10 for LLMs frameworks, with real attack scenarios and mitigation techniques. You’ll learn how to: Protect AI systems from data poisoning, backdoored models, and prompt injection. Apply encrypted networking, runtime monitoring, and file integrity checks to AI workloads. Use a neural network training and inference demo to see how secure, observable AI workloads can run in production while preserving Kubernetes performance. Complete the lab to earn your Isovalent Certified: Securing AI/ML Workloads Credly badge and build confidence in securing AI infrastructure. Can’t make it to the live session? Register anyway and we’ll send you the recording!