Product articles Masking Data for Development and Testing

Practical steps for end-to-end data protection

If you plan to make production data available for development and test purposes, you'll need to understand which columns contain personal or sensitive data, create a data catalog to record those decisions, devise and implement a data masking, and then provision the sanitized database copies. Richard Macaskill show how to automate as much of this process as possible. Read more

Masking Data in Practice

Even small extracts of data need to be created with caution, if they are for public consumption. Sensitive data can 'hide' in unexpected places. Phil Factor takes a strategic look at common data masking techniques, and the challenges inherent in masking certain types of sensitive and personal data, while ensuring that it still looks like the real data, and retains its referential integrity, and distribution characteristics. Read more