If the predefined classifiers do not meet your requirements, create a custom classifier to detect information specific to your organization. You can define a custom classifier by using a regular expression and assign it to a data category.
Go to Classification settings
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From the navigation pane, go to Secure > Data Posture 360.
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Click the Scan Settings tab.
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Click Classification Settings.
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Click Add Custom Classifier.
Create a custom classifier
Choose how to add the custom classifiers.
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Select Add single classifier.
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Configure the classifier settings:
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Classifier name: Enter a name for the custom classifier.
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Sensitivity: Select the sensitivity level for the custom classifier. For information about data classifiers and sensitivity levels, see Classifiers and data categories in Data Posture 360.
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Data category: Select the data category to which the custom classifier belongs. For information about data categories, see Classifiers and data categories in Data Posture 360.
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Derived from: Select an existing classifier to use as the basis for the custom classifier, if applicable.
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Regular expression: Enter the regular expression used to identify information that matches the custom classifier. Use Python regular expression syntax, and then click Test Regular Expression to validate the expression.
Note
Regular expression is case insensitive and supports non-capturing groups only.
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Custom keywords: Specify keywords to refine the matches identified by the regular expression.
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Click Create.
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Select Add bulk classifiers.
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Upload the derived-custom-classifer-template.json or underived-custom-classifer-template.json JSON file.
For information about JSON fields and regular expressions, see Custom classifier JSON fields and Python regular expressions.
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Click Create.