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Scarlet DhahabuData Protection
Data

Data Masking & Anonymisation Toolkit

Tooling that masks and anonymises sensitive fields before data is shared with third parties or used in non-secure environments.

Personal data leaks through side doors: test environments, vendor extracts, analytics pipelines. Each is a legitimate business need, and each is a route out of the controlled estate.

We built tooling that lets the business mask and anonymise sensitive data before sharing it with third parties or using it in non-secure environments, protecting personal and sensitive information from unauthorised access while keeping the data useful for the purpose it was extracted for.

Masking is applied consistently across environments, so the same record is transformed the same way everywhere — which matters as much for debugging as it does for privacy.

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