Bigid Inc.

Itamar Apel

Nimrod Vax

Eyal Sacharov

Yehoshua Enuka

David Moyal

The disclosed privacy management platforms are adapted to scan any number of data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and/or usage activity relating to such information. The platforms may correlate personal information findings to specific data subjects and may employ machine learning models to classify findings as corresponding to a particular personal information attribute to provide an indexed inventory across multiple data sources.

Machine learning system and methods for determining confidence levels of personal information findings

Systems, methods and apparatuses are disclosed to cluster a plurality of documents located in any number of local and/or remote systems and applications. Preprocessed text is generated for each document, and a hash and a feature vector are determined based on the preprocessed text. A set of clusters is retrieved, wherein each cluster is associated with a hash list and a cumulative feature vector. Each of the documents may then be associated with a cluster by comparing the hash of the document to the hash lists of the clusters and/or by determining similarities between the feature vector of the document and the cumulative feature vectors of the clusters.

Growing community of inventors

Nir Galim, Israel

Itamar Apel