Product articles

Detecting Data Masking Gaps in a CI Pipeline

If you use Redgate Test Data Manager to anonymize production-derived test data and Flyway to manage schema changes, you need a way to keep masking rules aligned with schema evolution. The most reliable approach is to validate masking coverage in CI: run a masking drift check as part of the Flyway pipeline and fail the build if schema changes introduce sensitive columns that aren’t yet covered by the masking configuration. This article shows how the check works, what it validates, and where it can fit into a typical delivery workflow. Read more

A Practical Guide to Refactoring Production Databases with Redgate Data Modeler

Refactoring a production database is rarely just a schema cleanup exercise. Once a system is live, even sensible improvements can have consequences for existing data and for the applications, reports, and integrations that depend on the current design. This article shows how Redgate Data Modeler can help teams redesign more safely by making those changes visible, documented, and easier to plan. Read more

Test Data Management and SOC 2 Compliance

Using live data outside production is one of the fastest ways to create compliance risk, because it quickly becomes harder to control who can access it, how it is handled, and how long it is kept. A Test Data Management (TDM) approach provides exactly the kind of controls SOC 2 auditors look for in this situation: an automated, traceable end-to-end process for protecting, provisioning, and removing customer data so it can be used safely in non-production environments. Read more