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

專利號
US10079835B1
公開日期
2018-09-18
申請人
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

At step 306, one or more of the systems described herein may flag, based on the scanning, the application as having accessed the sensitive data that is protected by the data loss prevention policy. For example, flagging module 108 may, as part of server 206 in FIG. 2, flag, based on the scanning, application 230 as having accessed sensitive data 234 that is protected by the data loss prevention policy.

As used herein, the phrase “flag” generally refers to any action that triggers a data loss prevention system to prevent or obstruct an attempt by the flagged application to output a data object that may potentially contain sensitive data in an obfuscated format, as discussed further below (or otherwise perform a remedial action to prevent the loss of data). Moreover, as used herein, the term “sensitive data” generally refers to any data that a data loss prevention system protects to prevent loss or leakage. Typical examples of sensitive data may include personal or corporate identifying information, medical information, academic information, intellectual property, and/or any other similar sensitive data that an individual or organization may seek to prevent from loss or leakage.

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