Proofpoint Adaptive Email DLP prevents accidental and malicious email data loss through behavioral analysis. The solution monitors email traffic to detect misdirected emails, misattached files, and unauthorized data exfiltration. The system uses behavioral AI and machine learning to analyze email data and understand normal employee email behaviors, including communication patterns and sensitive data handling practices. It employs relationship graphs, deep content inspection, and behavioral analysis to identify typical employee behavior and detect data loss incidents. The platform continuously monitors email traffic and provides contextual warning banners that allow users to correct mistakes before data breaches occur. When potential issues are detected, the system displays real-time warning messages that enable users to modify their actions to prevent data loss. The solution operates through automated processes without requiring rule implementation or ongoing refinement. Adaptive Email DLP analyzes email data to establish baseline behaviors, then identifies anomalies such as emails sent to incorrect recipients or wrong file attachments. The system protects sensitive organizational data by detecting when wrong recipients are selected or when employees share incorrect attachments.
