Capgemini’s Data Masking Architecture, Organization and Process

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A proven approach lets financial institutions use sensitive production data flexibly yet with no risk to security or privacy Organizations often need to use production data safely outside of production processes: for example to provide realistic test data, or for support purposes. Data masking enables production data to be used securely and in compliance with […]

A proven approach lets financial institutions use sensitive production data flexibly yet with no risk to security or privacy

Organizations often need to use production data safely outside of production processes: for example to provide realistic test data, or for support purposes. Data masking enables production data to be used securely and in compliance with privacy requirements. A variety of masking techniques are available for different situations.

With extensive experience of building and managing enterprise-wide data masking solutions for global banks, Capgemini offers a robust metadata-based architectural approach, together with a process and organization that rapidly discovers what data needs to be masked and then implements and runs the masking process. This work can be carried out in a federated model or by a single center of excellence (CoE) for the entire enterprise and its ecosystem. Read more in our brochure.

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