Practice production decisions before they are incidents

Secure a production Kubernetes cluster across real scenarios: RBAC, NetworkPolicy, PodSecurity, secrets, image provenance, and audit decisions.

Design service-to-service communication using SPIFFE workload identity, mTLS, attestation, federation, and short-lived SVIDs.

Spot vulnerable endpoints before attackers do: JWT confusion, OAuth redirect bypasses, mass assignment, CORS, rate-limit spoofing, and webhook timing.

Triage Falco alerts, stolen service-account tokens, crypto-miner indicators, container drift, suspicious audit logs, and eBPF detections.

Review signing, SBOM, SLSA, dependency confusion, GitHub Actions scope, and admission policy gaps before artifacts reach production.

Debug mTLS rollout flaws, AuthorizationPolicy scope, JWT validation, traffic shifting, retry storms, and Envoy diagnostics.

Classify STRIDE threats, trust boundaries, attack trees, data sensitivity, mitigations, and risk priority across production systems.

Choose VPC boundaries, WAF placement, secret stores, CDN origin controls, IAM access, and multi-region resilience patterns.

Walk through compromise chains and pick the control that breaks each step: token recon, host access, exec abuse, and secret exposure.

Identify prompt injection, model extraction, vector database leakage, agent tool scope, cost abuse, and MCP server identity gaps.