Methods and systems for locating anomalous query activity on data stores

US12289331B2 · kind B2 · utility

Inventors

• Supreeth Rao · Cupertino, US
• Navindra Yadav · San Jose, US
• RAVI SANKURATRI · Cupertino, US
• Alok Lalit Wadhwa · Milpitas, US
• Aria Rahadian · San Jose, US
• Brady Schulman · Milford, US
• Ravi Prasad · Fremont, US
• VASIL DOCHKOV YORDANOV · San Jose, US
• Yiwei Wang · Beijing, CN
• Zhiwen Zhang · Mountain View, US
• UDAYAN JOSHI · San Diego, US
• Soumyadeep Choudhury · San Jose, US
• Muhammada Furqan · Lowell, US
• DANESH IRANI · San Carlos, US

Key dates

• Filing date: Jun 1, 2022
• Grant date: Apr 29, 2025
• Expiry date: Dec 21, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F21/6227
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

In one aspect, a computerized system for locating anomalous query activity with a cloud-based database, comprising: with an atypical query engine: analyzing and understanding data within a cloud-based database, processing all accesses to the data within cloud-based database and SAAS environment, generating a list of user that accesses a table from a location in the cloud-based database using, and capture a set of specified key statistics about the cloud-based database query; and role suggestion engine: generating a user behavior fingerprint comprising a history of the user's behavior within the cloud-based database, identifying that a user is an outlier with respect to behavior with respect to the set of specified key statistics, and suggesting a new role within an enterprise managing the cloud-based database for the user, wherein the fingerprint of the outlier user is used to generate the suggestion for the new role.