Egnyte, Inc.

Marcin Artur Zablocki

Amrit Jassal

Willy Lanig Picard

Vikram Chandrasekhar

Debjit Bhattacharjee

Tomasz Marek Kaczmarek

Shishir Sharma

Sean H Puttergill

Systems and methods for serving subject access requests (SARs) are disclosed. A network connection is established with a user. An SAR, including at least one piece of personal data corresponding to an entity associated with said user, is received from the user via the network connection. Text data is extracted from a plurality of data objects, the data objects including personal data associated with the user. The text data is then processed to identify instances of names and instances of personal data within the text data. Associations are generated between identified names and identified personal data. A subset of the identified personal data that corresponds to the entity is identified based on the associations. A response to the SAR is provided, based at least in part on the identified personal data corresponding to the entity.

System and method for serving subject access requests

Example systems and methods for efficient data governance are disclosed. Metadata associated with file objects is analyzed to estimate, for each file object, the likelihood that the file object includes sensitive data. The estimates are used to prioritize the file objects for analysis of the file objects' content to determine the whether the file objects include data deemed to be of a sensitive nature. In cloud-based systems/methods the estimates are also used to prioritize the file objects for transfer from a remote file storage system to the cloud-based system for analysis of content. The disclosed systems and methods significantly reduce the time required to identify sensitive file content in a large number of file objects.

System and method for sensitive content analysis prioritization based on file metadata

Example systems and methods for efficient data governance are disclosed. Metadata associated with file objects is analyzed to estimate, for each file object, likelihood that the file object includes sensitive data. The estimates are used to prioritize the file objects for analysis of the file objects' content to determine the objects include data deemed to be of a sensitive nature. In cloud-based systems/methods the estimates are also used to prioritize the file objects for transfer from a remote file storage system to the cloud-based system for analysis of content. The disclosed systems and methods significantly reduce the time required to identify sensitive file content in a large number of file objects.

Growing community of inventors

Poznan, Poland

Marcin Artur Zablocki