Invention Grant
- Patent Title: Data loss prevention using machine learning
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Application No.: US16162880Application Date: 2018-10-17
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Publication No.: US10754998B2Publication Date: 2020-08-25
- Inventor: Abhishek Nagpal , Syed Luqman Ahmed
- 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
- Agent Michael A. Springs
- Main IPC: G06F21/88
- IPC: G06F21/88 ; G06K9/00 ; G06F21/62 ; G06N20/00

Abstract:
A data loss prevention device that includes a data loss prevention engine implemented by a processor. The data loss prevention engine is configured to receive data in transit to a target network device and to identify content within the data. The data loss prevention engine is configured to determine the content of the data comprises an image and to determine an image type for the image based on objects within the image, and to determine whether the image type matches a restricted image type from a set of restricted image types. The data loss prevention engine is further configured to block transmission of the data to the target network device in response to determining that the image type matches a restricted image type and forward the data to the target network device in response to determining that the image type does not match a restricted image type.
Public/Granted literature
- US20200125775A1 DATA LOSS PREVENTION USING MACHINE LEARNING Public/Granted day:2020-04-23
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