What problem does it solve? Production infrastructure ships with insecure defaults, and manually hardening every layer (OS, containers, cloud, network, databases) is error-prone and hard to verify against compliance requirements like SOC 2, PCI-DSS, HIPAA, and FedRAMP. ## Core Features & Use Cases - Five-Layer Hardening Guidance: Applies CIS Benchmarks and zero-trust principles across Linux OS, containers, cloud configurations (AWS, GCP, Azure), networks, and databases with concrete configuration examples. - Automated Verification: Integrates scanning tools like Trivy, Checkov, kube-bench, docker-bench-security, Prowler, and Lynis into CI/CD pipelines for continuous compliance verification. - Hardening Automation Scripts: Includes a Python script that applies sysctl parameters, SSH hardening, file permissions, and service minimization with dry-run and audit modes. - Use Case: Before deploying a Kubernetes application to production, use this Skill to generate hardened Pod security contexts, default-deny NetworkPolicies, and run kube-bench to validate CIS compliance. ## Quick Start Ask the AI to harden your production infrastructure by applying CIS Benchmark recommendations to your Linux hosts, Docker containers, and Kubernetes deployments, then verify the results with automated scans.