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

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, and disrupted relationships between tables.

Serving 36 million policyholders across insurance, benefits, wealth, and banking, the customer selected DataStealth to deliver a Test Data Management (TDM) platform that removes identifiable information without compromising integrity, structure, or usability.

DataStealth was deployed between production and non-production environments, protecting sensitive data with a combination of tokenization, encryption, and masking as data moved into lower-level environments, spanning structured databases and a wide range of system files (mainframe, copybook, CSV, database exports) over SFTP and FTPS. Instead of relying on teams to clone production datasets and apply scripts after the fact, DataStealth protects data in transit, so no unprotected information ever reaches test, QA, UAT, or training systems. Customer IDs, account numbers, and transaction references continue to match and connect correctly across core policy, billing, and claims systems, addresses remain in the correct geographic region, dates of birth stay realistic, and dependent/beneficiary linkages are preserved.

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