OneTrust has filed a patent for a method and system to manage data controls for computing systems. The invention involves comparing versions of a dataset describing a regulatory framework, processing the dataset using machine learning models to generate tags representing characteristics of the change, identifying affected computing systems, and coordinating actions to address the change. 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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According to GlobalData’s company profile on OneTrust, DRM tools was a key innovation area identified from patents. OneTrust's grant share as of September 2023 was 68%. Grant share is based on the ratio of number of grants to total number of patents.
Managing implementation of data controls for computing systems
A recently filed patent (Publication Number: US20230306134A1) describes a method and system for managing changes to a regulatory framework. The method involves comparing different versions of a dataset that describes the regulatory framework to identify changes to a data control. This data control is used in handling target data. Once a change is identified, the method uses featurization techniques and machine learning models to process the dataset and generate tags that represent the characteristics of the change. These tags are then used to determine the applicable domain or jurisdiction for the data control.
Based on the applicable domain or jurisdiction, the method identifies the computing system that is affected by the change to the data control. Once the computing system is identified, the method coordinates an action to be performed with respect to the system to address the change. This action can include automatically setting up a task to implement the control action, sending electronic notifications of the change to the data control to relevant entities, or providing recommendations based on the change.
The system described in the patent includes a non-transitory computer-readable medium storing instructions and a processing device. The processing device executes the instructions to perform the operations described in the method. The system compares different versions of the dataset, processes the dataset using featurization techniques and machine learning models, identifies the applicable domain or jurisdiction, and coordinates actions to address the change to the data control.
The patent also describes a non-transitory computer-readable medium that stores computer-executable instructions. When executed by computing hardware, these instructions configure the hardware to perform the operations described in the method. This includes comparing different versions of the regulatory framework, processing the framework to generate feature representations and tags, identifying the applicable domain or jurisdiction, and coordinating actions to address the change to the data control.
Overall, this patent presents a method and system for efficiently managing changes to a regulatory framework by utilizing featurization techniques, machine learning models, and coordination of actions based on the identified changes.
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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.
