Build and deployment systems hold powerful credentials and decide what reaches production. We inspect that path from commit to release, then show where controls need to be added or tightened.
Engineering teams with limited pipeline security checks, or teams whose current scanners are slow, noisy or routinely bypassed.
Independent findings from the last year, with the report each one comes from.
Independent findings from the last year, with the report each one comes from.
known malicious packages across npm, PyPI, Maven Central, NuGet and Hugging Face, after 454,600 new ones were found in 2025 alone. The report names developer machines and CI/CD pipelines as the execution environment those packages are built to reach.
This is why the review checks what runs during install and build, not only what ships to production.
hardcoded secrets were added to public GitHub commits in 2025, a 34% rise in a year. Internal repositories are roughly six times more likely than public ones to contain one.
This is why secrets handling in the pipeline is reviewed alongside the scanners.
of breaches involved a third party, up from 30% the year before and 15% the year before that, as organisations lean further on external software and services.
This is why the controls proposed fit where your code and dependencies actually come from.
Follow code through each build, test, approval and deployment stage, including the credentials used.
Identify exposed secrets, missing scans, weak branch protection and paths that can bypass approval.
Inspect package controls, artifact integrity and the way external dependencies enter the build.
Select controls and integration points that give developers a clear result in a sensible time.
Sequence the changes so the team can introduce them without stopping normal delivery.
Each track: present → configured → enforced
A developer can usually correct an issue more quickly while the change is still fresh and has not reached production.
Build systems often hold deployment credentials, accept external packages and run code with broad permissions.
Checks are more likely to stay enabled when they run predictably and explain exactly what needs to change.
An issue found before merge can usually be corrected within the same change. In production, it may require an incident response and an urgent release.
A pipeline assessment with the affected stages, recommended controls and a sequenced implementation plan for your platform or DevOps team.
Sample report, fictional client
Our own deployment infrastructure uses the same control patterns we recommend to clients.
We work with GitHub Actions, GitLab CI, Jenkins, CodePipeline and the tools already used by your team.
We consider runtime, failure behaviour and the developer response when choosing each security gate.
