Finalizing the right policies to secure a Kubernetes cluster involves tedious manual effort, from selecting relevant policies to running them in AUDIT mode and reviewing compliance reports. Moreover, addressing non-compliant configurations and handling exceptions, such as Istio's `initContainer` requiring `runAsRoot` but conflicting with a `runAsNonRoot` policy, further complicates the workflow. Managing policies at scale is a significant challenge, often leading to misconfigurations, delays, and security risks.

In this talk, we'll explore tools like k8sGPT or GPTScript to simplify Kyverno policy management by scanning a Kubernetes cluster and suggesting optimal policies based on best practices. Compliant policies can be automatically applied, while non-compliant ones are analyzed with AI-driven checks for fixes to your infrastructure. By integrating it as part of platform engineering, organizations can reduce human intervention, and ensure compliance and security with zero downtime.