Securing AI in the cloud starts at runtime

As AI workloads increasingly run on Kubernetes and containers, preventative security controls alone are insufficient. Runtime visibility is essential because it captures actual workload behavior — revealing whether vulnerable packages are active, whether permissions are being used, and whether services are communicating with sensitive systems. With 66% of organizations running generative AI on Kubernetes (per CNCF), and attackers able to build exploits within hours of a CVE going public, runtime security becomes the critical foundation for cloud defense. Sysdig positions runtime insights as the data layer that enables AI-assisted and autonomous security workflows.