Systematic identification and masking of private data for replaying user sessions
ES3072831T3Active Publication Date: 2026-07-06QUANTUM METRIC LLC
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Patent Information
- Application Number
- ES2022196225T
- Authority / Receiving Office
- ES · ES
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2022-09-13
- Filing Date
- 2022-09-16
- Publication Date
- 2026-07-06
- Estimated Expiration
- 2042-09-16
AI Technical Summary
Technical Problem
Existing systems fail to efficiently identify and mask private information in user interactions with websites, leaving it vulnerable to unauthorized access due to dynamic changes in web document structure and the labor-intensive process of updating tags.
Method used
A system that dynamically identifies private information using session data and a detection system, updates a capture agent to mask corresponding nodes in the Document Object Model (DOM), and includes a scanning module to detect false positives.
Benefits of technology
Effectively masks private information in user interactions, preventing unauthorized access and adapting to website changes without manual tag updates, while reducing false positives.
✦ Generated by Eureka AI based on patent content.
Abstract
This document describes techniques for identifying and masking private information in user interactions with a website during a network session. A scanning module can receive a set of captured interactions (e.g., navigation between website sections and data entered into one or more website fields) with the website during the session. Instances of private information can be identified and assigned to each node in the Document Object Model (DOM). Information about each corresponding node can then be provided to a capture agent to mask that node in future user interactions.
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