Snowflake has been granted a patent for a computer-implemented object tagging method for databases. The method involves creating tags for classifying sensitive information, granting privileges to data owners, generating tagged objects, and masking sensitive information upon request during an audit. GlobalData’s report on Snowflake 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 Snowflake, Social media analytics was a key innovation area identified from patents. Snowflake's grant share as of January 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
Object tagging method for database security and privacy
A recently granted patent (Publication Number: US11886441B2) outlines a computer-implemented object tagging method for a database. The method involves receiving a tag creation command from a database administrator, creating a tag for classifying sensitive information in database objects, granting tag privileges to data owners, generating tagged objects based on the tag and database objects, and associating tagged objects with masking policies during audits. The system also allows for controlling access to tags based on user roles, ensuring secure data management.
Furthermore, the patent describes a system and a non-transitory computer-readable storage medium for implementing an object tagging framework in a database. The system includes processors and memory storing instructions to perform operations related to tag creation, privilege granting, object tagging, and masking policy association during audits. The storage medium contains instructions for similar operations, including controlling tag access based on user roles. The method and system aim to enhance data security by efficiently classifying and protecting sensitive information within databases, catering to scenarios where data owners and administrators belong to different organizations, ensuring secure data handling practices.
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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.
