Data Filtering

Use Data Filtering Profiles to prevent sensitive, confidential, and proprietary information from leaving your network. Predefined patterns, built-in settings, and customizable options make it easy for you to protect files that contain certain file properties (such as a document title or author), credit card numbers, regulated information from different countries (like social security numbers), and third-party data loss prevention (DLP) labels.
  • Predefined Data Patterns
    —Easily filter common patterns, including credit card numbers. Predefined data filtering patterns also identify specific (regulated) information from different countries of the world, such as social security numbers (United States), INSEE Identification numbers (France), and New Zealand Internal Revenue Department Identification Numbers. Many of the predefined data filtering patterns enable compliance for standards such as HIPAA, GDPR, Gramm-Leach-Bliley Act.
  • Built-In Support for Azure Information Protection and Titus Data Classification
    —Predefined file properties allow you to filter content based on Azure Information Protection and Titus labels. Azure Information Protection labels are stored in metadata, so make sure that you know the GUID of the Azure Information Protect label that you want the firewall to filter.
  • Custom Data Patterns for Data Loss Prevention (DLP) Solutions
    —If you’re using a third-party, endpoint DLP solution that populates file properties to indicate sensitive content, you can create a custom data pattern to identify the file properties and values tagged by your DLP solution and then log or block the files that your Data Filtering profile detects based on that pattern.

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