How a Global Insurer Protects Sensitive Data in Non-Production Environments

Without Breaking Downstream Functionality
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Datastealth

March 3, 2026

Executive Summary

A leading Global Insurer, with multiple lines of business, required a consistent way to protect production data before it entered test, QA, UAT, and training environments.

An existing solution had already been deployed, but it broke downstream systems, distorted geographic and relational attributes, disrupted relationships between tables, and caused data to stop behaving like production data.

The customer selected DataStealth to deliver a Test Data Management (TDM) platform that could remove identifiable information without compromising the integrity, structure, or usability of the underlying data.

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