New Features in Enterprise DLP Plugin 1.0
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Enterprise DLP

New Features in Enterprise DLP Plugin 1.0

Table of Contents

New Features in Enterprise DLP Plugin 1.0

Review the new features and functionality introduced in Enterprise Data Loss Prevention (E-DLP) plugin 1.0.
Where Can I Use This?What Do I Need?
  • Panorama™ management server
  • Enterprise Data Loss Prevention (E-DLP) license
  • Device management license
  • Support license

Enterprise DLP Plugin 1.0.8

Panorama plugin for Enterprise Data Loss Prevention (E-DLP) 1.0.8 introduces minor bug and performance fixes.

Enterprise DLP Plugin 1.0.7

Panorama plugin for Enterprise Data Loss Prevention (E-DLP) 1.0.7 introduces minor bug and performance fixes.

Enterprise DLP Plugin 1.0.6

Panorama plugin for Enterprise Data Loss Prevention (E-DLP) 1.0.6 introduces minor bug and performance fixes.

Enterprise DLP Plugin 1.0.5

Panorama plugin for Enterprise Data Loss Prevention (E-DLP) 1.0.5 introduces minor bug and performance fixes.

Enterprise DLP Plugin 1.0.4

Panorama plugin for Enterprise Data Loss Prevention (E-DLP) 1.0.4 introduces minor bug and performance fixes.

Enterprise DLP Plugin 1.0.3

New FeatureDescription
Enterprise DLP Plugin Integration with Prisma Access
(PAN-OS 10.0.5 and later releases)
The Panorama plugin for DLP supports the integration of Enterprise DLP with Prisma Access.

Enterprise DLP Plugin 1.0.2

Panorama plugin for Enterprise Data Loss Prevention (E-DLP) 1.0.2 introduces minor bug and performance fixes.

Enterprise DLP Plugin 1.0.1

New FeatureDescription
Enterprise Data Loss Prevention (E-DLP)
(PAN-OS 10.0.2 and later releases)
To protect against unauthorized access, misuse, extraction, and sharing of sensitive information, you need to effectively filter network traffic to block or generate an alert before sensitive information leaves the network. Enterprise Data Loss Prevention (E-DLP) provides a single engine for accurate detection and consistent policy enforcement for sensitive data at rest and in motion. Use Enterprise DLP to automatically detect sensitive content using machine learning-based data classification, hundreds of data patterns using regular expressions or keywords, and data profiles using Boolean logic to scan for collective types of data.