Security teams often have to keep up with evolving data security needs across different vectors of data loss. Historically, managing custom Enterprise Data Loss Prevention (E-DLP) data patterns presented significant challenges, as the inability to archive or rename outdated patterns resulted in configuration sprawl, increased administrative overhead, and difficulty in maintaining an optimized data protection strategy. You can now archive and restore Enterprise DLP custom data patterns to ease Enterprise DLP data pattern management. This feature allows you to rename data patterns, archive any data pattern no longer required, and restore previously archived data patterns.

This provides several key benefits for Enterprise DLP configuration management. It reduces console clutter by allowing you to archive unneeded data patterns which remove clutter from your Enterprise DLP data pattern list and allows you to focus on active your data patterns. By extension, you can choose to restore archived data pattern to allow for correction of errors or adaptation to evolving requirements.

Additionally, You gain enhanced adaptability and clarity by updating data pattern names to reflect current organizational needs which helps to improve overall consistency. Renames have an immediate configuration impact, reflecting in data pattern tables, associated data profiles, and across all DLP incidents and snippets. For comprehensive auditing, all rename and archive actions are logged, including the user, the affected pattern, and the timestamp.