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Classifying Content > Machine learning
Machine learning
Administrator Help | Forcepoint DLP | Version 8.4.x
Machine learning classifiers are an advanced tool that allows administrators to provide examples of the type of data to protect and not to protect. This allows Forcepoint DLP to learn to identify sensitive data in traffic.
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Together, these examples educate the system.
Unlike fingerprinting, the files do not need to contain parts of the actual files to protect, but can instead look similar or cover a similar topic. The system learns and recognizes complex patterns and relationships and makes decisions without the exact include/exclude criteria specified in fingerprinting classifiers. Machine learning can even protect new, zero-day documents in this way.
Because machine learning classifiers are not looking for an exact match, they can handle a larger number of files than fingerprinting classifiers.
 
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After creating a classifier, the system assesses the expected number of unintended matches (false positives) and undetected content (false negatives) and provides an accuracy level.
The system supports 3 levels of machine learning classifiers:
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For tips and best practices for using machine learning, refer to Introduction to Machine Learning for Forcepoint DLP.
Creating a machine learning classifier
Create a machine learning classifier on the Main > Policy Management > Content Classifiers > Machine Learning page in the Data Security module of the Forcepoint Security Manager.
The Machine Learning page lists the existing machine learning classifiers.
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To create the classifier, click New in the toolbar at the top of the content pane. A wizard opens. See Machine Learning Wizard - General.

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Classifying Content > Machine learning
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