Snowflake had 61 patents in cybersecurity during Q4 2023. Snowflake Inc’s patents filed in Q4 2023 focus on a data platform that creates applications with APIs and underlying code blocks, allowing for sharing of data between provider and consumer accounts while maintaining privacy. Another patent involves installing a shared-instance database for machine learning in a consumer account, training the model with provider data, and generating scoring data. Additionally, there is a data protection system for identifying and correcting errors in database queries. The company also patented a data platform for developing and deploying data applications, managing network connections among computing devices to ensure expected connections are maintained. GlobalData’s report on Snowflake gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Snowflake grant share with cybersecurity as a theme is 49% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data clean rooms using defined access (Patent ID: US20230418699A1)
The patent filed by Snowflake Inc. describes a method and system for a data platform to create an application in a data-provider account that includes APIs corresponding to code blocks. The platform then shares provider data with the application in the data-provider account and installs an application instance in a data-consumer account with APIs corresponding to those in the data-provider account. Consumer data is shared with the application instance, and the platform invokes APIs to execute underlying code blocks, saving the output locally within the data-consumer account.
The claims associated with the patent detail the method performed by the data platform, including installing the application instance, sharing consumer data, and invoking APIs to execute code blocks. The method ensures that the execution of code blocks is not visible to the data-consumer account, allows for the application of a differential noise parameter, and does not transfer consumer data to a third-party account. Additionally, the data platform saves output data locally within the data-consumer account, ensuring that the saved output does not include shared provider data and may include aggregated output data or a relation. The patent also specifies that the application instance is not authorized to exfiltrate consumer data by default and that the source code of the underlying code blocks remains invisible to the data-consumer account.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
