Onetrust, LLC

Airwatch LLC

Vmware, Inc.

Ramana Malladi

Kevin Jones

Jonathan Blake Brannon

Dylan D Patton-Kuhl

Saravanan Pitchaimani

Subramanian Viswanathan

Sai Kiran Vudutala

Adam Stephen Rykowski

Abhishek Mishra

Nishita Manjunath

Jonathan Spaeth

Milap Shah

Matthew Hennig

Aadil Allidina

Nidhi Aggarwal

Achyut Bukkapattanam

Chris Wigley

Various embodiments provide methods, apparatus, systems, computing devices, computing entities, and/or the like for identifying targeted data for a data subject across a plurality of data objects in a data source. In accordance with one embodiment, a method is provided comprising: receiving a request to identify targeted data for a data subject; identifying a first data object using metadata for a data source that identifies the first data object as associated with a first targeted data type for a data portion from the request; identifying a first data field from a graph data structure of the first data object that identifies the first data field as used for storing data having the first targeted data type; and querying the first data object based on the first data field and the data for the first targeted data type to identify a first targeted data portion for the data subject.

Systems and methods for targeted data discovery

Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for identifying data processing activities associated with various data assets based on data discovery results. In accordance various aspects, a method is provided comprising: identifying and scanning data assets to detect a subset of the data assets, wherein each asset of the subset is associated with a particular data element used for target data; generating a prediction for each pair of data assets of the subset on the target data flowing between the pair; identifying a data flow for the target data based on the prediction generated for each pair; and identifying a data processing activity associated with handling the target data based on a correlation identified for the particular data element, the subset, and/or the data flow with a known data element, subset, and/or data flow for the data processing activity.

Systems and methods for identifying data processing activities based on data discovery results

Examples described herein include systems and methods for providing privacy information to a user of a user device. An example method can include detecting, at a management server, access of the private data by an entity other than the user, such as an administrator who is authorized to access the management server. The method further includes generating an event reflecting the access of the private data. The generated event can be stored as part of an event log in a database. The method further includes providing the event to the user device for display to the user. The event displayed on the user device can include information such as an identity of the accessing entity, a description of the private data that was accessed, and when the access occurred. The user can select a displayed event at the user device and request further information on the event from an administrator.

Providing transparency in private-user-data access

Systems herein allow an administrator to efficiently set up user devices for use in a classroom environment. A management server can display a graphical user interface that includes selection options for defining and using carts of user devices. The carts can be selected and assigned to classes. The GUI also allows the administrator to specify which applications a class will use. Based on these selections, the management server can then manage which user devices install which applications, and allocate licenses accordingly.

Systems for configuring and managing classroom devices

Growing community of inventors

Atlanta, GA, United States of America

Ramana Malladi