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Teams are creating and sharing more information than ever across Jira, Confluence, and AI-powered workflows. Some of that information is sensitive, but many organizations do not have a clear view of where it lives, how it is classified, or whether the right controls are in place.

A strong data loss prevention strategy helps close that gap. It gives security and IT teams the visibility to find sensitive data, the structure to classify it consistently, and the controls to protect it without slowing work down.

This guide walks through a practical four-step framework for building a DLP strategy and shows how Guard helps operationalize it across your organization.