Data Access Management > Data protections

Data protections

You can define data protections within a data de-identification policy's rules to protect data while maintaining data consistency, reversibility, and format.

Data de-identification techniques are behaviors for Data Access Management to apply to a field in a data set to de-identify it, while still preserving data utility.

Data de-identification techniques include:

•Replace a string with a Constant value
•Generalize date
•Hashing
•Redact with null
•Retain
•Substitute value
•Tokenize a string or integer
•Truncate a string