OneTrust had three patents in artificial intelligence during Q1 2024. OneTrust LLC’s patent filed in Q1 2024 describes methods and systems for identifying targeted data for a data subject across multiple data objects in a data source. The method involves receiving a request, identifying relevant data objects and fields, and querying the data objects to find targeted data portions for the data subject. GlobalData’s report on OneTrust gives a 360-degree view of the company including its patenting strategy. Buy the report here.

OneTrust grant share with artificial intelligence as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for targeted data discovery (Patent ID: US20240004871A1)

The patent filed by OneTrust LLC describes methods, systems, and devices for identifying targeted data for a data subject across various data objects in a data source. The method involves receiving a request to identify targeted data, determining targeted data types associated with data objects, generating queries to identify targeted data portions, and performing actions based on the identified data portions. The system includes computer-readable media storing instructions and processing hardware to execute operations such as determining eligible data types for querying, generating queries based on graph data structures, and performing targeted data actions.

The method and system outlined in the patent involve generating queries to identify targeted data portions for a data subject by traversing graph data structures representing data objects in a data source. The operations include determining eligible data types for querying based on metadata, modifying metadata to include additional data types, and performing targeted data actions such as generating location maps or removing data portions. The non-transitory computer-readable medium contains instructions for determining eligible data types, excluding ineligible types, and modifying metadata to facilitate querying targeted data from the data source.

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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.