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.
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.
Over ten sessions we wired six security tools into a GitLab pipeline that fires on every commit and every Merge Request. So are we done? Not quite. Code in production sits there for weeks or months, and during that time researchers keep finding new CVEs in the dependencies you are already shipping. In Part 11 of the GitLab DevSecOps series, Patrick Steger and I add a scheduled pipeline so the production branch gets re-scanned automatically — without anyone having to push a commit.
Your code is the small part. The libraries you pull in are the big part — and that is where most of your CVEs live. In Part 3 of the GitLab DevSecOps series, Patrick Steger and I bring up a tiny Spring Boot demo, wire it into a GitLab pipeline, and then add Software Composition Analysis with a single include line.
