Bring security and visibility to AI on Kubernetes AI and ML workloads introduce unique challenges for Kubernetes teams managing high-performance and data-intensive applications. These workloads require secure communication, reliable monitoring, and protection against threats such as model poisoning and supply-chain compromise. In this recorded hands-on workshop, you’ll use the Isovalent Enterprise Platform to secure AI pipelines running on Kubernetes. The lab combines practical exercises with the MITRE ATLAS and OWASP Top 10 for LLMs frameworks, guiding you through real mitigation techniques against attacks such as data poisoning, backdoored models, and prompt injection. You’ll learn how to apply encrypted networking, runtime monitoring, and file integrity checks to safeguard AI systems while preserving the performance Kubernetes provides. The lab includes a neural network training and inference demo to illustrate how secure and observable AI workloads can run in production environments. Complete the lab to earn your Isovalent Certified: Securing AI/ML Workloads Credly badge and gain confidence in securing AI infrastructure for the future. Access the lab.