Simplify De-identification Across Structured & Unstructured Data.
Simplify Sensitive Data Sharing & Storage Using BigID.
Smarter De-identification
As organization collect large quantities of information about their customers, de-identification practices become critical to protect the privacy of the customers. Regulators distinguish between ‘pseudonymous data’, which is information that no longer allows the identification of an individual without additional information, as opposed to de-identified data.
BigID is designed to discover all sensitive and personal data in your environments, build identity profiles and correlate the data to specific policies or compliance mandates. BigID can discover data that can be identified, or has no protection in place, and apply risk analytics to determine if compliance mandates are needed – including pseudonymization techniques:
Data Minimization
Track data access history and easily threshold unused or orphaned data that may warrant minimization.
Find Pseudo PII
Track combinations of data attributives for identifiability.
Check Pseudonymization
Uncover de-identified or pseudonymized data vulnerable to identity correlation.
De-identify
Scrub or tokenize data using BigID based on data intelligence gathered by BigID.