Absorber DLP is a cloud-delivered data loss prevention system for Atlassian products, including Jira, Confluence, and Bitbucket. It discovers and monitors sensitive information using machine-learning classification, weighted regular expressions, predefined identifiers, and compliance templates.
In the AI security & guardrails space, Absorber DLP takes a focused approach. It focuses on preventing sensitive data from being exposed across Jira, Confluence, Bitbucket, and other Atlassian products. Absorber DLP is a B2B product aimed at atlassian administrators and enterprise security teams. It ships for the web.
Behind Absorber DLP is LabVerge. Among its 10 catalogued features are sensitive data discovery, data monitoring, and machine-learning classification. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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