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Systems and methods for data loss prevention of unidentifiable and unsupported object types

專利號(hào)
US10079835B1
公開日期
2018-09-18
申請(qǐng)人
Symantec Corporation(US CA Mountain View)
發(fā)明人
Dhananjay Dodke; Sumesh Jaiswal; Amit Dhotre; Vipul Goel
IPC分類
H04L29/06; G06F21/10
技術(shù)領(lǐng)域
data,or,sensitive,prevention,may,loss,in,computing,flagging,module
地域: Mountain View

摘要

A computer-implemented method for data loss prevention of unidentifiable and unsupported object types may include (1) monitoring, through at least one filter, data input to an application during execution, (2) scanning, through a data loss prevention scanner, the data input to the application to detect whether the data includes sensitive data that is protected by a data loss prevention policy, (3) flagging, based on the scanning, the application as having accessed the sensitive data that is protected by the data loss prevention policy, (4) detecting that the application is requesting to output a data object in a format that obscures underlying content, and (5) performing, by a data loss prevention program, a remedial action to prevent loss of the sensitive data based on both flagging the application and detecting that the application is requesting to output the data object in the format that obscures underlying content.

說明書

In some examples, flagging module 108 may flag application 230 by determining that the application has accessed a quantity of sensitive data. Moreover, flagging module 108 may also then determine that the quantity of sensitive data is greater than a threshold amount that defines a threshold beyond which the application is flagged. For example, the threshold may specify that the detection of any sensitive data may trigger the flagging of the application. In other words, a single hit that matches a single item of data that the application accessed to a single item of data that the data loss prevention system blacklists to protect from loss may trigger the flagging of the application (i.e., a single credit card number match). Alternatively, the threshold amount may define a larger amount of sensitive data beyond which the application is flagged, thereby providing the application with some tolerance and preventing an overly strict application of the data loss prevention policy. For example, flagging module 108 may require two, three, four, five, 10, 20, 50, 100, or any other arbitrary amount of sensitive data (e.g. in terms of hits) to be detected before flagging the application as having accessed sensitive data.

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