Realistic test data has a number of advantages over real data for anyone creating or changing a database, prototyping ETL operations, or testing applications. First, synthetic data do not expose personally identifiable information (PII) like credit card, social security numbers, birth dates, etc.
According to Trent Henry of the Burton Group,
Data protection needs to take into account both internal and external threats, including those against critical database and application resources.
Data masking is one method to combat the nearly 72,000 documented breaches of personally identifiable information (PII) that occur every day. With data privacy breaches still at unacceptably high levels, how can companies protect PII such as their national ID numbers across their myriad sources of data?
IRI FieldShield is a proven, best-in-class data-centric security package for classifying, finding, and masking personally identifying information (PII) and other sensitive data in database columns and flat-file fields.