What you’ll learn
- Use Network security policies to restrict cluster level access
- Use CIS benchmark to review the security configuration of Kubernetes components (etcd, kubelet, kubedns, kubeapi)
- Properly set up Ingress objects with security control
- Protect node metadata and endpoints
- Minimize use of, and access to, GUI elements
- Verify platform binaries before deploying
- Restrict access to Kubernetes API
- Use Role Based Access Controls to minimize exposure
- Exercise caution in using service accounts e.g. disable defaults, minimize permissions on newly created ones
- Update Kubernetes frequently
- Minimize host OS footprint (reduce attack surface)
- Minimize IAM roles
- Minimize external access to the network
- Appropriately use kernel hardening tools such as AppArmor, seccomp
- Setup appropriate OS level security domains
- Manage Kubernetes secrets
- Use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)
- Implement pod to pod encryption by use of mTLS
- Minimize base image footprint
- Secure your supply chain: whitelist allowed registries, sign and validate images
- Use static analysis of user workloads (Kubernetes resources, Docker files)
- Scan images for known vulnerabilities
- Perform behavioral analytics of syscall process and file activities at the host and container level to detect malicious activities
- Detect threats within physical infrastructure, apps, networks, data, users and workloads
- Detect all phases of attack regardless where it occurs and how it spreads
- Perform deep analytical investigation and identification of bad actors within environment
- Ensure immutability of containers at runtime
- Use Audit Logs to monitor access
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