Rubrik has been granted a patent for a system that processes personal data in databases. The system samples data stored in columns of data tables and analyzes it to determine if it includes personal data. It marks the data tables and columns that store personal data. The system can generate records of personal data for a subject by identifying the relevant data tables and processing the data stored in the marked columns. GlobalData’s report on Rubrik gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Rubrik, Cloud computing disaster recovery was a key innovation area identified from patents. Rubrik's grant share as of September 2023 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Processing personal data in databases

Source: United States Patent and Trademark Office (USPTO). Credit: Rubrik Inc

A recently granted patent (Publication Number: US11762833B2) describes a method for processing personal data from multiple data tables. The method involves generating a sample of data from a column in a data table and analyzing it to identify personal data. Based on this analysis, the first data table is marked as containing personal data.

The method also includes receiving a request to generate a record of personal data for a specific subject. It determines that the column in the first data table contains the requested type of personal data for the subject and that the column also contains a key that references a second data table marked as containing personal data. It then identifies a second key in a third data table that references the column in the first data table.

In response to the request, the method generates the record of personal data for the subject by retrieving and processing data from the first data table, the second data table, and the third data table.

The patent also describes various techniques for analyzing the sample of data to identify personal data. This includes determining whether the sample matches a list of known types of personal data, such as names, addresses, financial information, and more. The method can also generate an estimate of the probability that the sample matches one of the known types of personal data.

Additionally, the patent discusses the possibility of constructing a graph to represent relationships among the data tables associated with personal data. This graph can be traversed to expand the processing of data from the first data table to other tables that reference or are referenced by the first data table.

The patent covers a system for implementing this method, which includes one or more processors and memory to store the necessary instructions. It also mentions a non-transitory computer-readable medium that can store the instructions for processing personal data from multiple data tables.

Overall, this patent presents a method and system for efficiently processing personal data from various data tables, allowing for the generation of records specific to a subject's personal data.

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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.