Proofpoint Insider Threat Management (ITM) & Adaptive Email DLP: Detecting Malicious Users and Preventing Data Exfiltration
Modern data loss prevention requires more than content inspection: it demands an understanding of who is moving sensitive data, why they are doing it, and how the exfiltration is occurring. In this hands-on lab, participants will explore how Proofpoint Insider Threat Management (ITM) and Proofpoint Adaptive Email DLP (AEDLP) work together to identify malicious or high-risk user behavior and stop data exfiltration before it results in a security incident. ITM provides deep visibility into user activity, behavioral anomalies, communications, and insider risk indicators to uncover suspicious intent, while Adaptive Email DLP applies AI-powered behavioral analysis, contextual awareness, and intelligent policy enforcement to prevent unauthorized sharing of sensitive information via email. Together, these solutions enable organizations to correlate user behavior with data movement, investigate insider threats, detect malicious exfiltration attempts, and automate the appropriate response through warnings, coaching, blocking, or remediation, delivering a comprehensive, human-centric approach to protecting sensitive data.