Data clean rooms using defined access in trusted execution environment

    公开(公告)号:US12235992B2

    公开(公告)日:2025-02-25

    申请号:US18060504

    申请日:2022-11-30

    Applicant: Snowflake Inc.

    Abstract: In an embodiment, an application is created on a data-provider platform. The application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. Provider data is shared with the application on the data-provider platform. An application instance of the application is installed in a trusted execution environment (TEE). The application instance includes one or more APIs corresponding to the one or more APIs in the application on the data-provider platform. Consumer data is shared with the application instance from a data-consumer platform. One or more of the APIs of the application instance are invoked to execute, on the TEE, respective associated underlying code blocks that are not visible on the TEE. The output of the one or more respective associated underlying code blocks is saved to the data-consumer platform.

    ROW-LEVEL SECURITY
    3.
    发明申请

    公开(公告)号:US20250013776A1

    公开(公告)日:2025-01-09

    申请号:US18894162

    申请日:2024-09-24

    Applicant: Snowflake Inc.

    Abstract: Row-level security (RLS) may provide fine-grained access control based on flexible, user-defined access policies to databases, tables, objects, and other data structures. A RLS policy may be an entity or object that defines rules for row access. A RLS policy may be decoupled or independent from any specific table. This allows more robust and flexible control. A RLS policy may then be attached to one or more tables. The RLS policy may include a Boolean-valued expression.

    PROJECTION CONSTRAINT POLICIES IN A DATABASE SYSTEM

    公开(公告)号:US20240176822A1

    公开(公告)日:2024-05-30

    申请号:US18428694

    申请日:2024-01-31

    Applicant: Snowflake Inc.

    CPC classification number: G06F16/90335

    Abstract: A database system facilitates secure data sharing by implementing projection constraints within a query processing framework. Upon receiving a query directed to a shared dataset, the system, utilizing hardware processors, identifies a subset of data within the dataset that is subject to a projection constraint policy. The applicability of the projection constraint is determined based on the context of the query, which is derived from a data sharing agreement. The system processes the query by selectively restricting the projection of data values from constrained columns, while allowing specific operations to be performed on the data. The output generated in response to the query is compliant with the projection constraint policy, providing derived data based on the allowed operations without revealing the actual data values. This ensures the confidentiality of sensitive information while enabling collaborative data analysis and sharing among various users of the database system.

    DATA CLEAN ROOMS USING DEFINED ACCESS IN TRUSTED EXECUTION ENVIRONMENT

    公开(公告)号:US20230401333A1

    公开(公告)日:2023-12-14

    申请号:US18060504

    申请日:2022-11-30

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6245 G06F21/53 G06F2221/032

    Abstract: In an embodiment, an application is created on a data-provider platform. The application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. Provider data is shared with the application on the data-provider platform. An application instance of the application is installed in a trusted execution environment (TEE). The application instance includes one or more APIs corresponding to the one or more APIs in the application on the data-provider platform. Consumer data is shared with the application instance from a data-consumer platform. One or more of the APIs of the application instance are invoked to execute, on the TEE, respective associated underlying code blocks that are not visible on the TEE. The output of the one or more respective associated underlying code blocks is saved to the data-consumer platform.

    Data clean rooms using defined access with homomorphic encryption

    公开(公告)号:US11763029B2

    公开(公告)日:2023-09-19

    申请号:US18162506

    申请日:2023-01-31

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6245 G06F21/53 G06F2221/032

    Abstract: A data platform creates an application in a data-provider account, where the application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. The data platform shares homomorphically encrypted provider data with the application in the data-provider account. The data platform installs, in a data-consumer account, an application instance of the application. The data platform shares homomorphically encrypted consumer data with the application instance in the data-consumer account. The data platform invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account, and which operate on the shared homomorphically encrypted provider data and the shared homomorphically encrypted consumer data. The data platform saves homomorphically encrypted output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    Data clean rooms using defined access

    公开(公告)号:US12210650B2

    公开(公告)日:2025-01-28

    申请号:US18462044

    申请日:2023-09-06

    Applicant: Snowflake Inc.

    Abstract: In an embodiment, a data platform creates an application in a data-provider account. The application includes one or more APIs corresponding to one or more underlying code blocks. The data platform shares provider data with the application in the data-provider account, and also installs, in a data-consumer account, an application instance of the application. The application instance includes one or more APIs corresponding to the one or more APIs in the application in the data-provider account. The data platform shares consumer data with the application instance in the data-consumer account, and invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account. The data platform also saves output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    NOISY AGGREGATES IN A QUERY PROCESSING SYSTEM

    公开(公告)号:US20240362355A1

    公开(公告)日:2024-10-31

    申请号:US18647728

    申请日:2024-04-26

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6227 G06F16/24556 G06F16/24565

    Abstract: A noisy aggregation constraint system receives a query for a shared dataset, where the query identifies an operation. The noisy aggregation constraint system accesses a set of data from the shared dataset to perform the operation, the set of data comprises data accessed from a table of the shared dataset. The system determines that an aggregation constraint policy is attached to the table, the policy restricts output of data values stored in the table. Based on the context of the query, the system determines that the aggregation constraint policy should be enforced in relation to the query. The system assigns a specified noise level to the shared dataset and generates an output based on the set of data and the operation; the output comprises data values added to the table based on the specified noise level.

Patent Agency Ranking