Jpmorgan Chase Bank, N.a.

Rod Bachelor

Tuan Q Dao

Jeremy F Bennett

Ralph Darmo

Howard Spector

Andrew Grignon

Pavan Mummareddi

Michelle M Bonat

Christopher Choi

Jeffrey E Miller

Hallie Huggins

Kathleen Moynahan

Systems and methods for protection of data across multiple users and devices are disclosed. According to one embodiment, in privacy server comprising at least one computer processor, a method for protection of data across multiple users and devices may include: (1) receiving, from a first user device, a data sharing permission for the first user device and a data sharing permission for a second user device, the first user device and the second user device associated with the same user; (2) provisioning the data sharing permission for the second user device; and (3) communicating the provisioned data sharing permission to the second user device, wherein the second user device shares data with the first user device according to the provisioned data sharing permission.

Systems and methods for protection of data across multiple users and devices

Systems, methods, and devices for tracking and managing data shared with third parties are disclosed. In one embodiment, a method including: retrieving data collection and usage policies of an entity; processing the data collection and usage policies with a natural language processing (NLP) model; generating, by the NLP model, predictive data collection and data usage attributes; generating a feature vector from the predictive data collection and data usage attributes; processing the feature vector with a graph neural network; storing data structured as a graph including the entity and the predictive data collection and data usage attributes; and processing the data structured as a graph with a classifier model that labels the entity as a first node in the data structured as a graph and predicts an edge to a second node in the data structured as a graph based on the predictive data collection and data usage attributes.

Systems and methods for tracking data shared with third parties using artificial intelligence-machine learning

Systems, methods, and devices for managing privacy policies are disclosed. In one embodiment, a method for management of a user's privacy preferences may include: identifying a computer application installed on a user electronic device, or a website accessed using a browser executed by the user electronic device; retrieving a privacy policy document analysis for a privacy policy document associated with the computer application or the website, the privacy policy document analysis comprising a valuation of a plurality of privacy policy segments within the privacy policy document; receiving a privacy preference analysis for the user, the privacy preference analysis comprising a valuation of a plurality of privacy preferences for the user; identifying a recommended action in response to the valuation of one of the privacy policy segments being outside the scope of the valuation of one of the plurality of privacy preferences; and executing the recommended action.

Systems and methods for managing privacy policies using machine learning

Systems, methods, and devices for obfuscation of browser fingerprint data are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method may include: (1) receiving an electronic communication from an electronic device to a destination; (2) identifying a raw device fingerprint value in the electronic communication from an electronic device; (3) selecting at least one replacement value for the raw device fingerprint value; (4) replacing the raw device fingerprint value with the replacement value in the electronic communication; and (5) sending the electronic communication with the replacement value to the destination.

Systems, methods, and devices for obfuscation of browser fingerprint data on the world wide web

Growing community of inventors

San Carlos, CA, United States of America

Rod Bachelor