Systems and methods for generating machine learning-based classifiers for detecting specific categories of sensitive information
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United States of America Patent
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Apr 1, 2014
Grant Date -
Nov 29, 2012
app pub date -
Jul 26, 2011
filing date -
May 23, 2011
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Abstract
A computer-implemented method may include (1) identifying a plurality of specific categories of sensitive information to be protected by a DLP system, (2) obtaining a training data set for each specific category of sensitive information that includes a plurality of positive and a plurality of negative examples of the specific category of sensitive information, (3) using machine learning to train, based on an analysis of the training data sets, at least one machine learning-based classifier that is capable of detecting items of data that contain one or more of the plurality of specific categories of sensitive information, and then (4) deploying the machine learning-based classifier within the DLP system to enable the DLP system to detect and protect items of data that contain one or more of the plurality of specific categories of sensitive information in accordance with at least one DLP policy of the DLP system.
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