Invention Grant
- Patent Title: Machine learning based identification and classification of database commands
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Application No.: US16910852Application Date: 2020-06-24
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Publication No.: US11574217B2Publication Date: 2023-02-07
- Inventor: Jennifer T. Renckert , Nicolas Kabse , Jesse S. Newsom, III , James D. Ilmonen , Mayakoothan Krishnan
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06N5/04 ; G06F16/242 ; G06F16/25 ; G06N20/00

Abstract:
Aspects of the disclosure relate to a machine learning based identification and classification of database commands. A computing platform may retrieve, by a computing device and from a first database of a plurality of databases, a database command. Subsequently, the computing platform may identify, by the computing device and for the database command and based on a machine learning model, one or more database commands from the plurality of databases, wherein the one or more database commands perform operations similar to the database command. Then, the computing platform may determine, by the computing device and for the database command, a security score indicative of a level of vulnerability associated with the database command. Subsequently, the computing platform may provide, via an interactive graphical user interface, the database command and the security score.
Public/Granted literature
- US20210406708A1 MACHINE LEARNING BASED IDENTIFICATION AND CLASSIFICATION OF DATABASE COMMANDS Public/Granted day:2021-12-30
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