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Case study · Cloud & DevOps
A digital lender shipped faster by moving security reviews into its delivery pipeline.
The challenge
The lender released new features in large batches. A manual security review happened at the very end, so findings arrived when changes were hard to undo. Releases slipped, and engineers dreaded the final week.
As a regulated business, the company also had to show auditors who changed what and when. Evidence was gathered by hand from chat threads and tickets. Any gap in that record could turn into a finding, so speed and control pulled in opposite directions.
Our approach
We followed a change from a developer laptop to production and marked every handoff, approval and manual step. That map showed where checks could run automatically.
We agreed with the security and compliance leads on which checks block a release and which only warn. Rules were written down so they apply the same way every time.
We built the pipeline, packaged services as containers and set up a managed Kubernetes cluster. Scans for code, dependencies and images run on every change.
We ran working sessions so developers could read scan results and fix issues early. We tuned noisy rules so the team kept trusting the alerts.
What we built
Each change is built, tested and packaged the same way, with approvals recorded.
Code, open source packages and container images are checked before release.
Services run on a managed cluster with clear rules for who can deploy what.
Every release links back to its change, its checks and its approver.
What changed
Developers see issues while they write code instead of in a review at the end.
The team ships changes in small steps, which makes problems easier to find and undo.
Release evidence is collected automatically, so audit requests no longer pull engineers off their work.
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