Capgemini’s Data Masking Architecture, Organization and Process

Publish date:

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.

capgeminis_data_masking...

File size: 607.31 KB File type: PDF

Related Resources

Mapping the journey to Net-Zero

Net-Zero. Two words being spoken with increasing frequency. But what does Net-Zero mean in...

Top Trends in Property and Casualty Insurance: 2021

This study provides an overview of the top trends in the property and casualty insurance...