Clear Data

Name in the application : CLEAR_DATA

Sometimes a very simplistic approach to masking is adopted through applying a NULL value to a particular field. The NULL value approach is really only useful to prevent visibility of the data element.

In almost all cases it lessens the degree of data integrity that is maintained in the masked data set. It is not a realistic value and will then fail any application logic validation that may have been applied in the front end software that is in the system under test. It also highlights to anyone that wishes to reverse engineer any of the identity data that data masking has been applied to some degree on the data set.

Known issue: The Clear Data masking method causes migration’s fail if selected field doesn’t allow the NULL values.