Snowflake had 46 patents in cybersecurity during Q1 2024. Snowflake Inc’s patents in Q1 2024 focus on innovative methods for enhancing data security and access control within databases. These include technologies such as row-level security policies, differentially private security systems, automated database deployment fulfillment processes, restricted view definitions, and container-centric managed access for future grants. These advancements aim to provide more robust, flexible, and preemptive control over data access and privileges within database systems. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Snowflake grant share with cybersecurity as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Row-level security (Patent ID: US20240095393A1)

The patent filed by Snowflake Inc. describes a method and system for implementing row-level security (RLS) in a multi-tenant network-based data system. RLS policies are defined independently from specific tables, allowing for more robust and flexible control over data access. These policies can be attached to tables and include Boolean-valued expressions to restrict access to certain rows based on user-defined rules. The method involves storing tables with RLS policies independently, sharing them between accounts, attaching additional RLS policies, generating query execution plans that respect the security policies, and executing queries without revealing restricted information.

Furthermore, the patent outlines the use of a non-transitory machine-storage medium embodying instructions for implementing the described method and a system with processors and memory to execute the operations. The system allows for storing tables with RLS policies independently from execution nodes, sharing tables without copying data, preventing disclosure of restricted information through query execution plans, and evaluating policy expressions based on permission privileges. The system also supports the attachment of multiple RLS policies to tables, restricting access based on roles in different accounts within the multi-tenant network-based data system. Overall, the patent presents a comprehensive approach to implementing fine-grained access control through RLS policies in a flexible and secure manner within a multi-tenant data environment.

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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.