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DevSecOps Pipeline Integration Guide

Build a shift-left CI/CD security pipeline: pre-commit secrets, SAST, SCA, container and IaC scanning with gate policies and developer-friendly reports.

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Design a complete DevSecOps pipeline for a microservices-based web application that integrates security scanning into every stage of the CI/CD workflow.

**Current CI/CD setup:**
- CI platform: GitHub Actions
- Source control: GitHub (private repositories)
- Container registry: GitHub Container Registry (ghcr.io)
- Deployment target: AWS EKS with ArgoCD GitOps
- Languages/frameworks: Node.js (TypeScript), Python, Go — Docker containers

**Build the following pipeline stages with tool configuration:**

1. **Pre-Commit (Developer Workstation):**
   - Git hooks via `pre-commit` framework configuration (`.pre-commit-config.yaml`)
   - Secrets scanning: detect API keys, passwords, private keys before they reach the repo
   - Linting for security anti-patterns (e.g., hardcoded credentials, insecure randomness)
   - Provide the complete hook configuration file

2. **SAST — Static Application Security Testing:**
   - Tool: Semgrep (with custom rules) configuration with custom rules for Node.js (TypeScript), Python, Go — Docker containers
   - Severity threshold gate: block merge on Critical/High findings
   - False positive suppression workflow (inline comments, ignore files)
   - Incremental scanning (only changed files on PR, full scan on main)
   - Generate the CI job definition with caching for scan speed

3. **SCA — Software Composition Analysis:**
   - Dependency vulnerability scanning for all package managers in Node.js (TypeScript), Python, Go — Docker containers
   - License compliance checking (block copyleft in proprietary code)
   - Reachability analysis: distinguish between vulnerable + reachable vs. vulnerable + unreachable
   - Auto-generated PR for dependency updates with security fixes
   - SBOM (Software Bill of Materials) generation in CycloneDX/SPDX format

4. **Container Security:**
   - Image scanning in the build pipeline (before push to registry)
   - Base image policy: approved base images list, auto-rebuild on base image CVE
   - Dockerfile linting (no `latest` tag, no `root` user, multi-stage build enforcement)
   - Runtime security profile generation (Seccomp, AppArmor)
   - Distroless/minimal base image recommendations for Node.js (TypeScript), Python, Go — Docker containers

5. **DAST — Dynamic Application Security Testing:**
   - Tool configuration for staging environment scanning
   - Authenticated scanning setup (login sequence recording)
   - API schema-driven scanning using OpenAPI/Swagger spec
   - Scan scheduling: full scan weekly, baseline scan on each deployment to staging
   - Generate the DAST CI job with environment provisioning

6. **Infrastructure as Code Scanning:**
   - Terraform/CloudFormation/Kubernetes manifest scanning
   - Policy-as-code rules using OPA/Rego or equivalent
   - Drift detection between declared and actual state
   - Compliance-as-code for SOC 2 Type II

7. **Pipeline Orchestration:**
   - Complete GitHub Actions pipeline definition file
   - Parallel scanning stages for speed (SAST + SCA + secrets in parallel)
   - Gate policies: which findings block deployment vs. create tickets
   - Security dashboard aggregation (consolidate all tool findings)
   - Developer notification: inline PR comments with finding details and fix suggestions
   - Metrics tracking: mean time to remediate, vulnerability backlog trend, scan coverage

8. **Rollout Plan:**
   - Phase 1 (Week 1-2): Secrets scanning + SCA (non-blocking, reporting only)
   - Phase 2 (Week 3-4): SAST + container scanning (blocking on Critical)
   - Phase 3 (Week 5-8): DAST + IaC scanning + full gate enforcement
   - Developer training materials and FAQ for common false positives

Each tool configuration should include the actual config file content, not just a description.

What this prompt does

This prompt designs a complete DevSecOps pipeline that bakes security scanning into every stage of your CI/CD workflow. You describe the [project_type], [ci_platform], [source_control], [container_registry], [deployment_target], and [tech_stack], and it builds out pre-commit hooks, SAST, SCA, container scanning, DAST, IaC scanning, pipeline orchestration, and a phased rollout plan — each with actual config file content.

The structure works because shift-left security only sticks if it runs automatically and doesn't make developers route around it. The prompt sequences scans the way they actually belong — secrets and SAST early, DAST against staging later — and parallelizes them for speed. It uses your [sast_tool] and [tech_stack] to produce real .pre-commit-config.yaml and CI job definitions, and the rollout plan starts non-blocking, then gates on Critical findings only, which is how teams adopt this without revolting. Findings land inline in pull requests with fix suggestions.

When to use it

  • You're standing up CI/CD security and want scanning on every commit, not a quarterly audit.
  • You need actual config files (.pre-commit-config.yaml, CI job YAML) for your [ci_platform], not just descriptions.
  • You want SAST, SCA, secrets, and container scanning wired in with gate policies.
  • You're rolling out security tooling to a team and need a phased plan that won't trigger pushback.
  • You need an SBOM and license-compliance checks for [compliance_standard] like SOC 2.
  • You want IaC scanning (Terraform, Kubernetes) with policy-as-code added to the pipeline.

Example output

You get a stage-by-stage pipeline with real config: a .pre-commit-config.yaml with secrets scanning, a SAST job using your [sast_tool] with severity gates and incremental scanning, an SCA stage with dependency scanning, reachability analysis, and SBOM generation, container security (image scanning, Dockerfile linting, distroless recommendations), DAST against staging, IaC scanning with OPA/Rego, a full [ci_platform] pipeline definition with parallel stages and gate policies, and a phased rollout — non-blocking first, then gating on Critical, then full enforcement.

Pro tips

  • Name your exact [ci_platform] so the orchestration file is directly usable, not pseudo-config.
  • List every language in [tech_stack]; SCA and SAST coverage depends on knowing all your package managers.
  • Set [sast_tool] to your preferred scanner (Semgrep, etc.) to get custom-rule configuration for your stack.
  • Follow the phased rollout — non-blocking reporting first is what prevents developers from disabling the tooling.
  • Use [compliance_standard] to drive the license-compliance and policy-as-code rules toward real requirements.
  • Insist the findings surface inline in PRs with fix suggestions; that's what makes shift-left actually adopted.

Frequently Asked Questions

Does it give me real config files or just explanations?
Real config. The prompt is explicit that each tool configuration should include actual file content — a complete `.pre-commit-config.yaml`, CI job definitions for your `[ci_platform]`, and policy-as-code rules — not just descriptions of what to do.
Which CI platforms does it work with?
Whatever you set in `[ci_platform]` — GitHub Actions, GitLab CI, Jenkins, and others. The pipeline orchestration file, parallel-stage layout, and gate policies are generated in that platform's syntax, so specify your actual platform for usable output.
How does it avoid breaking developer workflows?
Through a phased rollout: Phase 1 runs secrets scanning and SCA non-blocking (reporting only), Phase 2 adds SAST and container scanning gating on Critical findings, and Phase 3 enforces full gates. Findings appear inline in pull requests with fix suggestions.
Does it generate an SBOM?
Yes. The SCA stage produces a Software Bill of Materials in CycloneDX or SPDX format, alongside dependency vulnerability scanning, license compliance checks, and reachability analysis that separates vulnerable-and-reachable from vulnerable-but-unreachable findings.
Engr Mejba Ahmed

Need this built for real?

Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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