Stripe has been granted a patent for a method and apparatus for hard deletion of user data. The method involves receiving a deletion request, determining a unique user identifier, predicting data partition contents, searching for user data records, and performing a hard deletion when found. GlobalData’s report on Stripe 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 Stripe, Rebate eligibility processing was a key innovation area identified from patents. Stripe's grant share as of February 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Method for hard deletion of user data based on unique identifier
A recently granted patent (Publication Number: US11914732B2) outlines a computer-implemented method for the hard deletion of user data. The method involves receiving a deletion request from a user, determining a unique user identifier, and predicting whether a data partition contains the user's data by searching a hierarchical set of filters. These filters indicate the presence of data records associated with the user identifier within specific data partitions. If the data is found, a hard deletion of the user data record is performed. The method also includes steps for authenticating the user's identity, generating deletion records, and providing a data deletion summary to the user.
Furthermore, the patent describes the use of bloom filters to determine if a data partition contains the user's data and the parallel searching of hierarchical bloom filters by multiple processors. The system can handle requests from a commerce platform system and ensures that hard data deletion is carried out within a specified timeframe. Additionally, the patent covers the implementation of the method through a non-transitory computer-readable storage medium with instructions for performing the operations. The system for hard deletion of user data includes a processor and memory to receive deletion requests, determine unique user identifiers, predict data partition contents, search for user data records, and execute hard deletions when necessary.
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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.
