This is the most commonly used type of algorithm for its ease of generating and ability to work with different languages. When this algorithm replaces real, sensitive data with fictional data, it creates repeating data patterns, known as “collisions.” For example, the names “Tom” and “Peter” could both be masked as “Matt”. Because names and addresses naturally recur in real data, this mimics an actual data set. However, for the Continuous Compliance engine to mask all data into unique outputs, the Character Mapping algorithm is better suited.
Case sensitive lookups are optional. Masked output casing can also be customized to preserve the case of the lookup file, preserve the input value case, force all uppercase, or force all lowercase.