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.
—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
Custom Data Patterns for Data Loss Prevention (DLP) Solutions
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.