Immuta, Inc.

Kyle Thomas Lilly

Joseph J Regensburger

Mason Sharp

Alfred V Rossi, Iii

Steven Touw

Barry Ray Hammen

Eric James Perry

James Leonard Klucar, Jr

Adam Carr Hamlin

Systems and methods obtain a database query, modify the database query into a modified database query incorporating a privacy mechanism configured for randomizing an attribute value of data in an answer to the modified database query, and output the modified database query. In some embodiments, the modified database query is forwarded to a database.

Systems and methods for privacy-enhancing modification of a database query

Systems and methods for obtaining a SQL query, translating the SQL into a modified SQL query incorporating a privacy mechanism, and outputting the modified SQL query incorporating the privacy mechanism. In some embodiments, the modified SQL query incorporating the privacy mechanism is forwarded to a SQL database.

Systems and methods for privacy-enhancing transformation of a SQL query

A method for automated data access management can include creating a project that manages data access to data sources by a plurality of users, wherein each user has user attributes indicating data access policies for the data sources. The method can also include performing project equalization for the project, wherein the project equalization determines a set of user attributes shared by the users. Additionally, the method can include modifying the user attributes of each user for the project, wherein the user attributes of each user are modified to conform to the set of user attributes determined by the project equalization, and detecting a query to retrieve data from the data source. The method can include modifying the query to produce a modified query by applying the modified user attributes associated with the project to the query and retrieving the data from the data source based on the modified query.

Data access policy management

Systems, methods, and manufactures for enhancing the determination of differential privacy query results. Implementations may include a database; a result cache; a processor; and a media storing instructions that, when executed by the processor, cause the system to perform operations that include obtaining a query of the database; determining that a specificity of the query exceeds a specificity threshold; determining that the result cache lacks any query results of previous queries that are substantially equivalent to the query; partitioning the database into a plurality of groups; determining a query result by executing the query on the plurality of groups; determining a sensitivity of the query and a nominal measurement of the query; determining a noisy result by adding noise to the query result based on the sensitivity and the nominal measurement; storing the noisy result in the result cache; and providing the noisy result in response to the query.

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Alexandria, VA, United States of America

Kyle Thomas Lilly