Assure database privacy by masking and scrambling confidential data

Recent studies report that 70 percent of database security breach cases are due to malcontent internal employees, third party service providers or database media and hardware mishaps. Any data extracted from its secure location can result in a breach in data privacy. GS Data Generator is a backdoor database security application that provides an additional layer of data protection by replacing confidential data with similar, artificially-generated data while preserving referential integrity and business logic.

Depending on the intended use and nature of the data, GS DataGenerator provides a variety of “out-of-the-box” data scrambling methods: randomization, blocking and masking.