K8S Security Policies

What it does

This skill allows AI agents to manage Kubernetes Security Policies. It can create, modify, and delete security policies within a Kubernetes cluster, ensuring that workloads adhere to defined access controls. The skill provides a declarative way to define network traffic rules for pods, enhancing the overall security posture of your applications.

When to use it

• Enforcing Network Segmentation: Implement strict network policies to isolate sensitive microservices from less-trusted components within your Kubernetes environment.
• Restricting Inbound/Outbound Traffic: Control which external services or internal pods can communicate with specific application deployments.
• Automating Security Policy Updates: Dynamically adjust security policies based on changes in application requirements or threat landscape.
• Compliance Auditing: Generate reports and documentation of existing Kubernetes security policies for regulatory compliance purposes.

Key capabilities

• Create Kubernetes Security Policies
• Modify existing Kubernetes Security Policies
• Delete Kubernetes Security Policies

Example prompts

• "Create a security policy that allows pods in the 'frontend' namespace to access only the database service on port 5432."
• "Update the existing security policy for the 'payment-service' to deny all ingress traffic from outside the cluster."
• “Show me all current Kubernetes Security Policies.”

Tips & gotchas

This skill requires appropriate Kubernetes credentials and access rights to manage security policies within a cluster. Ensure your AI agent has sufficient permissions before attempting to create or modify resources.