OneTrust had eight patents in digitalization during Q2 2024. OneTrust LLC’s patents in Q2 2024 focus on data processing activities identification, metadata-based data source classification, data processing consent capture system, and mapping target data existence within computing systems without exposing it to potential incidents. The inventions involve methods, systems, and computing devices for various data management and privacy protection purposes. GlobalData’s report on OneTrust gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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OneTrust had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for identifying data processing activities based on data discovery results (Patent ID: US20240160747A1)
The patent filed by OneTrust LLC describes a method and system for identifying data processing activities associated with various data assets based on data discovery results. The method involves scanning data assets to detect a subset associated with target data, generating predictions for data flow between pairs of assets, identifying data processing activities based on correlations with known data elements, subsets, and data flows, and performing actions based on the identified activities. The system utilizes machine-learning models to predict data associations, identify data flows, and determine if data processing activities are secure, potentially leading to actions such as accessing, revising, or deleting target data.
The patent also includes claims related to identifying data assets, determining secure data processing activities, assessing risks, utilizing machine-learning models for predictions, and performing actions based on identified data processing activities. The claims cover aspects such as installing software to identify data assets, determining if data processing activities are secure, assessing risks associated with data processing, and utilizing classifiers to generate predictions. Additionally, the claims involve receiving requests related to target data, identifying data flows through test data injection, and determining if data processing activities are performed securely. Overall, the patent outlines a comprehensive method and system for managing data processing activities based on data discovery results and machine-learning models.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
