After eleven sessions building a full DevSecOps pipeline with GitHub — covering Software Composition Analysis, License Compliance, SAST, Container Scanning, Secret Detection, DAST, Pull Requests, Scheduled Pipelines, and Vulnerability Management — Patrick Steger and I close the series with our recommendations. What works on GitHub, where the gaps are, and what we would tell anyone setting out to build the same pipeline.
Across ten sessions we wired security checks into a GitHub Actions pipeline that fires on every commit and every Pull Request. That covers code we are actively changing. It does not cover the code that is already running in production while researchers keep finding new CVEs in the libraries it uses. In Part 11 of the GitHub DevSecOps series, Patrick Steger and I add a scheduled workflow that re-scans the production branch — and we run straight into a GitHub limitation worth knowing about up front.
In the previous nine sessions Patrick Steger and I built a GitHub DevSecOps pipeline with build, SCA, License Compliance, SAST, Container Scanning, Secret Detection and DAST. All useful — but only if it actually runs before code lands in main, and only if the merge is blocked when something serious shows up. In Part 10 we wire that gate together with Pull Requests and Branch Protection rules.
We have spent the previous eight sessions adding scanners to our GitHub DevSecOps pipeline — SCA, SAST, container scanning, secret detection, DAST. The scanners now produce a steady stream of findings, and the question is: where do we manage them? In Part 9, Patrick Steger and I look at GitHub’s built-in Vulnerability Management — the Security Tab — and call out what it does well and what is still missing.
After seven sessions of static analysis — SCA, license compliance, SAST, container scanning, secret detection — Patrick Steger and I move into the dynamic side of the pipeline. In Part 8 we add Dynamic Application Security Testing to our GitHub Actions pipeline. DAST runs the application and then attacks it. GitHub does not ship this out of the box, so we wire in a community action built on OWASP ZAP — and we are honest about where that approach falls short for enterprise use.
API keys, tokens, and passwords still leak into repositories all the time — sometimes by accident, sometimes by a developer who genuinely did not know better. In Part 7 of our GitHub DevSecOps series, Patrick Steger and I switch on GitHub’s built-in Secret Scanning, add a custom pattern of our own, try out push protection, and look honestly at what the feature finds and where it falls short.
We have built up the GitHub Actions pipeline through five sessions: the project basics, software composition analysis, license compliance, and static application security testing. The next layer is container scanning — looking for vulnerabilities inside the Docker image we ship, not just in the source we wrote. In Part 6 of our series, Patrick Steger and I split the work into two GitHub Actions sub-workflows: one builds the image and pushes it to the registry, the other pulls it back and runs Trivy on it.
SCA covered our dependencies. License compliance covered what we are allowed to ship. SAST is where we point the scanners at the code we wrote ourselves. In Part 5 of our GitHub DevSecOps series, Patrick Steger and I add Static Application Security Testing to the pipeline — and find out the hard way that on GitHub it takes three Actions, not one.
GitHub does not ship a license scanner out of the box, and when we went looking in the marketplace, none of the existing actions did what we needed. So we built our own with a colleague from Microsoft and published it. In Part 4 of our GitHub DevSecOps series, Patrick Steger and I plug that License Finder action into our Spring Boot pipeline, configure which licenses are acceptable, and show how to surface the results inside GitHub.
GitHub does not ship a default SCA tool the way GitLab does. You have to combine two things: a platform feature called Dependabot and an SCA action from the Marketplace. In Part 3 of the GitHub DevSecOps series, Patrick Steger and I wire both into our pipeline — and find out the hard way that the Marketplace path is not as smooth as the slides suggest.
Before we plug security tools into anything, we need a repository, a pipeline, and a working build. In Part 2 of our GitHub DevSecOps series, Patrick Steger and I create a private GitHub repo for a small Java Spring Boot service, enable GitHub Actions, and wire up a two-workflow pipeline that compiles the code and runs the unit tests. This is the skeleton everything else in the series hangs on.
After we finished the GitLab DevSecOps series, Patrick changed jobs — and his new team is on GitHub. The problem is the same: no security checks during development. The platform is different. In Part 1 of our GitHub DevSecOps series, we cover what GitHub is, the CI/CD vocabulary you have to share before any pipeline conversation works, and the shape of the DevSecOps pipeline we will build over the next sessions.
