The Broken Perimeter: Why Stopping Insider Risk Requires Data Lineage and AI

Learn why 80% of data exfiltration involves fragmented data that legacy DLP misses. Download Cyberhaven's white paper on using data lineage and AI to stop insider threats in hybrid work environments.

The file perimeter is broken. In today's hybrid work environment, your most sensitive data no longer lives neatly inside databases or file shares—it fragments across emails, screenshots, AI prompts, and chat messages, escaping traditional security controls. Built on proprietary research from Cyberhaven Labs analyzing real-world data exfiltration incidents, this white paper exposes why legacy DLP and insider risk tools miss over 80% of critical data loss—and reveals how data lineage combined with AI provides the visibility and context organizations need to finally get ahead of insider threats.

Understand the Data Fragmentation Crisis

• Over 80% of critical data exfiltrated by employees consists of fragmented or derivative data that traditional DLP tools cannot detect
• Sensitive data is copied an average of 6 times before exfiltration, making traditional policy enforcement nearly impossible
• More than 60% of data loss incidents involve fragments that legacy DLP would miss entirely, leaving organizations blind to critical exposure

Learn Why Legacy Tools Come Up Short

• Traditional DLP tools miss roughly 70% of incidents involving derivative or transformed data because they rely on static content matching
• Fewer than 20% of organizations can trace the full path of sensitive data through their environment
• Legacy tools flood security teams with false positives instead of actionable insights—one manufacturer reported spending thousands of analyst hours quarterly investigating legitimate collaborations

Discover the Power of Data Lineage and AI

• Data lineage tracks every transformation—from copy-paste operations to AI prompts—revealing the complete story behind data movement
• AI analyzes billions of workflows to detect anomalies, automate triage, and distinguish legitimate collaboration from malicious exfiltration at scale
• Context-aware classification determines sensitivity based on data origin, creator, and use—not just keywords or file types

Download your copy of "The Broken Perimeter" and learn how data lineage and AI enable security teams to see the full story—tracing where data came from, how it's changed, and why it's moving—so you can stop insider threats before sensitive data escapes.