DevSecOps Pipeline
A DevSecOps pipeline is a CI/CD pipeline that integrates automated security tooling and gates — such as static analysis, dependency scanning, secrets detection, and dynamic testing — directly into the build, test, and deployment process,…
Definition
A DevSecOps pipeline is a CI/CD pipeline that integrates automated security tooling and gates — such as static analysis, dependency scanning, secrets detection, and dynamic testing — directly into the build, test, and deployment process, so security checks run continuously alongside every code change rather than as a separate, manual step.
Overview
DevSecOps extends the DevOps philosophy of automating and integrating previously siloed processes by folding security into the same continuous integration and continuous delivery (CI/CD) automation that already builds, tests, and deploys code. In a traditional model, security review happened as a separate, often manual, gate run by a dedicated security team shortly before release — a bottleneck that conflicted with the speed DevOps teams had achieved for everything else. A DevSecOps pipeline instead embeds automated security tooling directly into the same pipeline stages developers already interact with on every commit or pull request. A typical DevSecOps pipeline runs several classes of tooling at different stages: secrets scanning and static application security testing (SAST) run against source code on every commit or pull request, catching hardcoded credentials and common vulnerability patterns before code merges; software composition analysis (SCA) scans dependencies for known vulnerabilities (CVEs) and license issues; container and infrastructure-as-code scanning checks Dockerfiles, Kubernetes manifests, and Terraform/CloudFormation templates for misconfigurations; dynamic application security testing (DAST) and sometimes interactive testing (IAST) run against a deployed test environment to catch runtime vulnerabilities that static analysis can't see; and, post-deployment, runtime protection tools like RASP or cloud security posture management continue monitoring the running application. Findings from each stage are typically fed into the same issue-tracking workflow as functional bugs, with policy gates (e.g., 'no critical CVEs allowed to merge') that can block a pipeline from proceeding until addressed. The goal of a DevSecOps pipeline is not just automation for its own sake but shifting security left — catching issues as early and cheaply as possible — while keeping the deployment velocity that DevOps unlocked. Tooling ecosystems supporting DevSecOps pipelines include SAST tools like Semgrep, SonarQube, and CodeQL; SCA tools like Snyk and Dependabot; secrets scanners like GitLeaks and TruffleHog; and container/IaC scanners like Trivy and Checkov, all commonly wired into CI platforms such as GitHub Actions, GitLab CI, and Jenkins.
Key Concepts
- Integrates SAST, DAST, SCA, and secrets scanning directly into CI/CD stages
- Runs security checks automatically on every commit or pull request
- Includes container and infrastructure-as-code scanning for misconfigurations
- Uses policy gates to block merges or deploys on critical findings
- Feeds security findings into the same tracking workflow as functional bugs
- Extends into runtime protection and monitoring post-deployment
- Aims to shift security left without sacrificing deployment velocity
- Built from a combination of specialized open-source and commercial tooling
Use Cases
Frequently Asked Questions
From the Blog
DevSecOps: Building Security Into Your Pipeline
DevSecOps builds security into every stage of software delivery instead of bolting it on at the end. Learn the practices, tools, and culture that make it work.
Read More Cloud & CybersecurityWhat Is DevSecOps? Security in the Pipeline
DevSecOps builds security into every stage of the software pipeline instead of bolting it on at the end. Learn the shift-left mindset, key tools, and how to start.
Read More Cloud & CybersecurityDesigning a CI/CD Pipeline: Stages, Gates, and Artifacts
A trustworthy pipeline is defined by three things: clear stage boundaries, gates that fail closed on the checks that matter, and one immutable artifact promoted from build to production. Get those right and speed follows; get them wrong and no amount of parallelism makes the pipeline believable.
Read More Cloud & CybersecurityHow to run Terraform safely in a CI pipeline
Automate Terraform without surprise applies: plan on the PR, apply the saved plan, handle credentials, and gate destructive changes behind review.
Read More