Securing AI in the cloud starts at runtime

As AI workloads increasingly move into production, containers and Kubernetes are becoming the foundation for where cloud applications run and where risk becomes real. Preventative controls still matter, but they can’t fully account for runtime behavior, zero-days, lateral movement, or how AI-driven systems behave once they are live. This blog explains why securing AI in the cloud requires runtime visibility into what workloads are actually doing.