Data Tokenization

Control Consistency, Format Preservation and Reversibility with Tokenization

Privitar Data Tokenization

Tokenization is the process used to de-identify direct identifiers by replacing raw data with randomly generated tokens, or pseudonyms. The Privitar Data Privacy Platform™ supports data tokenization with optional consistency, format preservation and reversibility.

Enable Consistency & Linkability

Within a dataset or analysis, Privitar Protected Data Domains™ enable you to tokenize data consistently so you can maintain referential integrity and enrich data where needed.

Consistency is maintained over time so that as new data becomes available or additional data is required, you can add it to de-identified data in a Protected Data Domain.

Preserve Format

Privitar supports format and pattern preservation using a range of methods. You decide which format preservation techniques to use:

Full control for structured formats, such as phone numbers and postal codes
Lookup lists, such as first and last names
Generators for numbers, dates and credit cards

Re-Identify Data

Whether it’s for a healthcare intervention, a personalized customer experience or suspected fraud; de-tokenization can be critical.

Privitar lets you decide when tokenized data can be reversed. De-tokenization is a privileged role in Privitar, so you can ensure proper oversight and governance over who can see personally identifying data.

Privitar’s Complete Guide to Data De-Identification

The Privitar Data De-identification 101 series provides a ground-level introduction to the issues surrounding data de-identification, one of the fundamental components of data privacy.

Built on Enterprise Standards

Consistency and reversibility are crucial to data tokenization. They require a Token Vault to securely store and map the original data values to the tokens that replace them. Privitar supports a range of Token Vault technologies to meet your enterprise standards.