What You Need to Know About Data Masking for the Mainframe
What is data masking?
Data masking is the process of changing or hiding certain data elements within a set of data so that the data structure remains the same while the contents are changed. This is done to protect sensitive information such as real names, addresses, social security numbers, credit card numbers and so on.
With recent data breaches, companies are paying closer attention to how they use production data for testing purposes. Legislation such as GDPR and other data privacy laws restrict how companies can use sensitive customer information. Data masking is one of the first steps to protecting production data, but it is not the only step.
Some Test Data Management solutions provide the ability to synthetically generate test data so that data is created from scratch, avoiding the use of real data. Many companies are adopting a hybrid approach where they are masking test data and creating synthetic data when needed.