Certified Kubernetes Security Specialist (CKS)

Kubernetes clusters that are deployed fast but never hardened create real exposure. Once an attacker reaches a single app, node, or unsecured GUI, they can move laterally into corporate data and networks. This course gives IT Directors and Team Leads a structured way to close that gap across Kubernetes security operations, including vulnerability scanning, admission control, auditing, and runtime threat detection.

Role fit: Built for DevOps engineers and platform teams with three to five years of DevOps experience. Practitioners new to Kubernetes should complete the Certified Kubernetes Administrator (CKA) course first.

Time investment: About 27 hours across 29 skills, each roughly an hour. That makes it practical to assign one skill per week alongside production work.

Risk and audit framing: Teams learn to evaluate clusters against the CIS Benchmark, enable and process API server audit logs, and record and replay sessions with Teleport. That supports audit readiness and incident review.

Change-management note: The course covers Kubernetes security controls that affect cluster configuration and application deployment workflows. Teams that maintain Helm charts should plan time to review how those controls apply to their environments.

The instructor stresses hands-on cluster work throughout, so give learners sandbox cluster access. Use Playlists to sequence skills by role and Team Reporting to track progress toward CKS certification.

IT teams complete this training to close the security gaps that open up once Kubernetes moves from pilot to production. Each scenario is drawn from hands-on demos on live clusters, so Team Leads can map lessons directly to their own environments.

• Contain lateral movement after a breach. The course shows how one compromised pod, node, or exposed GUI such as a Chaos Mesh dashboard can give an attacker a path into the wider corporate network. Your team learns to segment traffic with network policies and Open Service Mesh, and to lock down cluster interfaces to authorized users only.
• Stop vulnerable or untrusted images before they deploy. Practitioners scan images with Trivy, automate scanning in GitHub Actions pipelines, and validate container images before deployment. This secures the software supply chain from source code through dev, QA, and production.
• Enforce least privilege and configuration standards automatically. Admission controllers and Pod Security Standards reject risky workloads at the API server. Guardrails no longer depend on manual review.
• Build an audit trail and catch threats early. Teams enable API server audit logging, detect runtime threats with Falco, record and replay sessions through Teleport, and feed visibility into a SIEM such as Sumo Logic. Chaos Mesh experiments test latency, resource contention, and clock skew before those conditions cause production outages.

The result is fewer security incidents, faster investigations, and clearer evidence for audits.

Knowledge

• How the software supply chain runs from authoring and testing source code through packaging and deployment to dev, QA, and production, and where security controls belong at each stage
• How network policies allow or deny traffic using CIDR rules, pod selectors, namespace selectors, and port-based ingress and egress rules
• Why least-privilege security contexts matter, and why teams are moving from Pod Security Policies to Pod Security Standards
• How built-in and dynamic admission controllers enforce resource configuration policy
• How operational events differ from API server audit events, which must be explicitly enabled
• Why exposed cluster GUIs, such as Chaos Mesh dashboards, give attackers a path to move laterally into the corporate network

Ability

• Implement container image security controls, including automated vulnerability scans in GitHub Actions
• Enable audit logging, process audit logs with PowerShell, and feed cluster telemetry into a SIEM such as Sumo Logic
• Detect runtime threats with Falco and record, monitor, and replay Kubernetes sessions with Teleport
• Store and handle secrets securely, including with Vault, and control service-to-service traffic with Open Service Mesh
• Register validating webhooks safely by scoping operations narrowly and avoiding lockout, and respect dry-run requests so no changes are saved
• Run Chaos Mesh experiments and PowerShell Pester tests to confirm clusters hold up under latency, resource contention, and clock skew