Enterprise DLP Data Patterns
Table of Contents
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- Register and Activate Enterprise DLP on Prisma Access (Panorama Managed)
- Edit the Enterprise DLP Snippet Settings on the DLP App
- Enable Role Based Access to Enterprise DLP on Cloud Management
- Enable Optical Character Recognition on Cloud Management
- Enable Optical Character Recognition for Enterprise DLP
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- Create a Data Profile on the DLP App
- Create a Data Profile with EDM Data Sets on the DLP App
- Create a Data Profile with Data Patterns and EDM Data Sets on the DLP App
- Create a Data Profile with Nested Data Profiles on the DLP App
- Create a Data Profile on Cloud Management
- Create a Data Profile with EDM Data Sets on Cloud Management
- Create a Data Profile with Data Patterns and EDM Data Sets on Cloud Management
- Create a Data Profile with Nested Data Profiles on Cloud Management
- Create a Data Filtering Profile on Panorama
- Create a Data Filtering Profile on Panorama for Non-File Detection
- Update a Data Profile on the DLP App
- Update a Data Profile on Cloud Management
- Update a Data Filtering Profile on Panorama
- Enable Existing Data Patterns and Filtering Profiles
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- How Does Email DLP Work?
- Activate Email DLP
- Add an Enterprise DLP Email Policy
- Review Email DLP Incidents
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- Monitor DLP Status with the DLP Health and Telemetry App
- View Enterprise DLP Log Details on the DLP App
- Manage Enterprise DLP Incidents on the DLP App
- View Enterprise DLP Audit Logs on the DLP App
- View Enterprise DLP Log Details on Cloud Management
- Manage Enterprise DLP Incidents on Cloud Management
- View Enterprise DLP Audit Logs on Cloud Management
- View Enterprise DLP Log Details on Panorama
Enterprise DLP Data Patterns
Create and configure an
Enterprise Data Loss Prevention (E-DLP)
data pattern.Enterprise Data Loss Prevention (E-DLP)
data patterns specify what content is sensitive and needs to be
protected—this is the content you’re filtering.Predefined data patterns
and built-in settings make it
easy for you to protect files that contain certain file properties
(such as document title or author), credit card numbers, regulated
information from different countries (such as driver’s license numbers),
and third-party DLP labels. To improve detection rates for sensitive data in your organization,
you can supplement predefined data patterns by creating
custom
data patterns
that are specific to your content inspection and
data protection requirements. In a custom data pattern, you can
also define regular expressions and file properties to look for
metadata or attributes in the file’s custom or extended properties
and use it in a data filtering profile.