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Security, GDPR, KVKK, and Technical Compliance

Software delivery, product logic, and operational quality aligned

Category

Software Development

Best fit

Products handling personal or regulated data

Scope

Technical controls and risk reduction

Primary outcome

Compliance-aware delivery foundation

Access control Privacy engineering Security baseline

Where compliance meets engineering

Security and technical compliance become delivery questions the moment a system handles personal data, permissions, approvals, or sensitive operational workflows. GDPR and KVKK requirements intersect with architecture, data storage, access control, retention, and vendor choices long before legal text is published.

We do not replace legal counsel. We translate product and compliance requirements into technical controls, system boundaries, and engineering decisions that reduce implementation risk. That is where many launches fail: the obligation exists, but the product team has not mapped it into the build.

What the service includes

We scope data-flow boundaries, permission models, secrets handling, logging needs, deletion and retention behavior, audit expectations, third-party service exposure, environment controls, and the technical safeguards required for sensitive paths. This work is practical: it identifies where risk lives in the system and what must exist before release.

The strongest results come when this service is coordinated with Backend and API Development , Database, Data Layer, and Reporting , and DevOps, Deployment, and Infrastructure Operations instead of being treated as a late-stage review.

Practical risk reduction during delivery

Security and compliance are most effective when built into normal delivery routines: least-privilege access, explicit admin boundaries, data minimization, protected secrets, monitored changes, and known incident paths. The work should reduce ambiguity for engineers rather than increase it.

Success looks like a defined data-handling model, clearer access rules, lower release risk around sensitive features, and technical evidence that privacy and security obligations were considered during build, not after it.

Typical outputs

Data handling matrix / access-control model / technical compliance checklist / security control baseline / issue log

Backend and API Development / Database, Data Layer, and Reporting

Let's scope your next system together.