BigID is the first and only vendor that provides privacy-specific data discovery capabilities using ML based correlation in addition to classification and cataloging. However, enterprises increasingly need a fuzzier way to group and categorize their data. While correlation provides a unique approach to map data to a person and classification can help map data to a known format, neither alone can help group information based on a fuzzier definition of similarity.
BigID has therefore introduced a fourth kind of data discovery and analysis that can help identify similar but different data for easier data management and security. Cluster Analysis, the BigID patent-pending approach leverages a fingerprinting approach to compare data in order to identify similarity and score dispersion from a mean. Using the BigID cluster analysis in tandem with BigID’s labeling capability makes it easy for security and data governance professionals to find related documents and soon databases to ensure consistent security, consolidation, retention and minimization strategies.