Data De-Identification

Data de-identification tools are used to identify PII and break its link from individuals. It also help keeping the remainder of the data intact. The privacy of the data subjects within the data set is preserved by doing so. Enterprises that regularly work with susceptible data generally choose to de-identify it to remain compliant with government regulations, such as GDPR, CCPA, and HIPAA.

Data de-identification products are almost similar to data masking software. But data de-identification products has a lower chance of data being re-identified. Organizations can share regulated information across their enterprise and with third parties by anonymizing data and separating value-add information from PII, such as age of a person, ZIP code, and name, in such a way that regulatory non-compliance can be greatly reduced.

Tokenization, Replacement, and Privacy vault are different types of data de-identification. Removing identifiable data and breaking links from data subjects are the basic elements of data de-identification.

Compliance, lower maintenance, valuable insights and data sharing are benefits of using data de-identification. Organizations can derive particular points of value from the data without knowing the identity of anyone by the help of third parties since the data cannot be linked to individuals yet contains valuable information.