Security woven into the delivery pipeline — supply-chain integrity, SAST/DAST, secrets, policy-as-code, and shifting security left.
The opening post of a DevSecOps series — how security stops being a gate at the end of delivery and becomes an automated, shared responsibility built into every stage of the pipeline.
The opener to a DevSecOps series: building security into the delivery lifecycle instead of bolting it on — shift-left (and shift-right), security as everyone's job, the CI/CD pipeline as the enforcement point, and the automated controls the series wires up.
How to design security in from the first sketch instead of bolting it on before launch — mapping security work to every phase of the software lifecycle, grounded in the NIST Secure Software Development Framework, and using STRIDE-based threat modeling as the core design activity.
Designing security in from the start: the secure SDLC mapped to NIST SSDF, security requirements and abuse cases, and threat modeling with the four questions and STRIDE — data-flow diagrams, trust boundaries, and continuous (not one-time) modeling.
How the four families of automated security tests — static analysis, dynamic analysis, secret scanning, and instrumented runtime testing — fit together across a pipeline, and why tuning signal-to-noise matters more than adding scanners.
Automated security testing in the pipeline: SAST vs DAST vs IAST and their trade-offs, secret scanning (including git history), where each runs, and making findings actionable so false-positive fatigue doesn't get the scanner muted.
Securing everything you didn't write — from finding known-vulnerable dependencies with SCA, to generating an SBOM you actually act on, to proving provenance with signatures and SLSA so you know and verify what you ship.
Securing everything you didn't write: SCA for known-vulnerable dependencies, the supply-chain threat model (typosquatting, dependency confusion, build compromise), SBOMs (SPDX/CycloneDX), and provenance/integrity with SLSA and Sigstore signing.
How to move from hardcoded passwords toward dynamic, short-lived, audited credentials — the hierarchy from bad to good, the role of a real secrets manager, and why a leaked secret is compromised the instant you push it.
Keeping credentials out of code and under control: the bad-to-good hierarchy, secrets managers (Vault/KMS), dynamic short-lived secrets, rotation that consumers actually pick up, and workload identity / OIDC so CI and services never store a long-lived key.
Why your Terraform is a security control point, how misconfiguration scanners catch public buckets and open ingress before apply, and how to encode org guardrails as executable policy with OPA/Rego, Conftest, and Sentinel instead of a wiki page nobody reads.
Securing infrastructure definitions and enforcing guardrails automatically: IaC scanning (Checkov/tfsec/Trivy) for misconfig, drift detection, and policy-as-code with OPA/Rego + Conftest so org rules block bad infra before apply — not in a wiki.
Securing the runtime platform end to end — hardened images, least-privilege workloads, default-deny networks, and admission control as the gate that decides what is ever allowed to run.
Securing the runtime platform: minimal non-root images scanned for CVEs, the container isolation model and hardening (drop caps, read-only FS, seccomp), and Kubernetes — Pod Security Standards, RBAC, default-deny NetworkPolicies, and admission control (Gatekeeper/Kyverno).
The DevSecOps series finale — shifting right to runtime, turning compliance into code, closing the incident feedback loop, measuring what matters, and the culture that makes secure the default path.
The capstone: shifting right to continuous security — runtime detection and vulnerability management as a loop, security observability and tamper-evident audit, compliance-as-code with evidence from the pipeline, metrics that matter, and the culture (paved roads, champions).
This series is part of a larger body of work by Pratik Dhanave, an Agentic AI Architect writing about production AI systems, distributed systems, and cloud-native engineering. Explore all course series, browse every post, or find topics via the tag index.