Self-service access to safe data
Protect data and manage risk
Analyze conversational chat data
Reduce the time and cost to comply
Right data in the right hands
Align control and business use
Controlled access to data
Flexibility, consistency, scalability
Our professional services
Power responsible use
From clinical to commercial
Optimize data tests
Open new revenue streams
Realize the potential of the cloud
Protect data from misuse
Transform your data
Opinion and industry insights
An A to Z of the industry
The podcast for data leaders
Press releases, awards, and more
Staying at the cutting edge
The team behind Privitar
A thriving partner ecosystem
Our story, values, and careers
Dedicated customer assistance
The A-Z of Privacy
A process that re-establishes, under a strict set of controls, the original values from a dataset that has been previously de-identified (masked). Typically, this involves the reversing of the tokenization of a direct identifier or the decryption of encrypted values.
Privitar supports Unmasking on a column-by-column basis. That is, it limits the operation to specific data attributes, and strictly requires special permissions to govern the process.
Various use cases rely on this ability to reverse de-identification. For example, when a follow-up is required on selected, raw records, or when moving the data between environments that require different kinds of protection from a less secure environment to a more secure one.
An example of the use of Unmasking could be for a de-identified dataset created for medical analysis in which patient identities have been obscured. As a result of the analysis, there may be a requirement to reveal some patient identities in order to contact them to arrange a medical examination or treatment.
Return to glossary
Our team of data security and privacy experts are here to answer your questions and discuss how modern data provisioning can fuel business growth.