DevSecOps & Platform Engineering
- Feb 8, 2025
- 8 min read
DevSecOps for Regulated FinTech on Google Cloud
How PT CPI integrates Snyk, GitLab, and GitHub into CI/CD on GCP—shift-left security, audit evidence, and developer velocity for FinTech teams.
Executive summary: Regulated FinTech and institutional technology teams face a tension that never goes away: ship quickly, but prove that every release was scanned, reviewed, and approved. DevSecOps resolves that tension by embedding se…
Regulated FinTech and institutional technology teams face a tension that never goes away: ship quickly, but prove that every release was scanned, reviewed, and approved. DevSecOps resolves that tension by embedding security into the same tools engineers already use—pull requests, pipelines, and deployment automation on Google Cloud.
Who should read this
| Role | Why read this |
|---|---|
| CEO / COO | Cloud investment decisions and evidence of delivery discipline |
| CTO / Head of Engineering | Architecture patterns, pipelines, and adoptable quality gates |
| Engineering & Platform | Technical detail, trade-offs, and operational practice |
The regulated delivery tension
PT CPI implements DevSecOps as a system, not a shelf of licenses. As a partner for Snyk, GitLab, and GitHub, we help you choose SKUs, deploy integrations, and define policies that developers can follow without filing exceptions for every sprint.
DevSecOps as a system
A mature pipeline on GCP typically flows from source control through build (Cloud Build or integrated CI), artifact storage (Artifact Registry), automated tests, security scans, policy gates, and deployment to GKE, Cloud Run, or other targets. Each stage produces artifacts auditors care about: scan results, approval records, and deployment logs.
A mature GCP pipeline
Application security testing—SAST, SCA, container scanning, and IaC analysis—is configured to run on change, not on calendar. Findings surface in the merge request with severity, remediation guidance, and ownership. PT CPI tunes rules to reduce noise while keeping critical classes non-negotiable.
Shift-left application security
For Kubernetes workloads, admission policies, image signing, and runtime visibility connect to your observability stack. Secrets are never committed; workload identity and managed secret stores are standard. We align container baselines with the same policies applied to virtual machines and serverless functions.
Kubernetes and runtime controls
Exceptions are inevitable in real organizations. The difference in regulated environments is whether exceptions are invisible spreadsheets or time-bound, approved policy overrides with audit trails. We implement workflows so risk owners can accept residual risk explicitly.
Governed exceptions
Developer enablement separates programs that last from checkbox exercises. PT CPI delivers playbooks, office hours, and worked examples so security findings become backlog items engineers understand—not mysterious tickets from a distant team.
Conclusion and next steps
Whether you are modernizing a monolith, launching trading or payment services, or standardizing dozens of microservices, we can assess pipeline maturity and run a focused pilot. Visit our DevSecOps service page or schedule a workshop with your engineering and security leads.
