Adam Michael Dille

US Patent:

20230090108, Mar 23, 2023

Filed:

Sep 13, 2022

Appl. No.:

17/943782

Inventors:

- Colorado Springs CO, US
Adam Dille - Monument CO, US
Sean De La Torre - Dana Point CA, US

Assignee:

Quantum Metric, Inc. - Colorado Springs CO

International Classification:

G06F 21/62
H04L 67/50

Abstract:

Techniques are described herein for identifying and masking instances of private information in tracked user interactions with a network site during a network session. A scanning module can receive set of captured user interactions (e.g., movements between portions of the network site and data provided in one or more fields on the network site) with the network site during the network session. Instances of private information can be identified and a number of nodes in a document object model (DOM) for the network site that correspond to each identified instance of private information. Information about each corresponding node can be provided to update a capture agent to mask each corresponding node in future user interactions.

US Patent:

20210255914, Aug 19, 2021

Filed:

Feb 19, 2021

Appl. No.:

17/180400

Inventors:

- Colorado Springs CO, US
Adam Dille - Monument CO, US

Assignee:

Quantum Metric, Inc. - Colorado Springs CO

International Classification:

G06F 11/07
G06F 16/23
G06F 16/245

Abstract:

The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.