The File Perimeter Is Broken
Your most sensitive data no longer lives in files or folders. It fragments across emails, screenshots, AI prompts, and chat messages, and legacy DLP misses most of it. This Cyberhaven Labs white paper breaks down why, and how data lineage combined with AI gives security teams the context to trace it anyway.
What's inside
The Fragmentation Crisis
80% of critical data exfiltrated by employees is fragmented or derivative data, according to Cyberhaven Labs.
Sensitive data is copied an average of 6 times before it is exfiltrated, making policy enforcement nearly impossible.
Fewer than 20% of organizations can trace the full path of their sensitive data through their environment.
Why Legacy Tools Come Up Short
Legacy DLP assumes data stays inside managed systems, missing how it moves across hybrid and offsite work.
Behavior-only tools lack content visibility, leading to long tuning periods and high false positive rates.
Traditional DLP misses roughly 70% of incidents involving derivative or transformed data.
The Data Lineage and AI Advantage
Data lineage maps every transformation, from copy-paste to AI prompts, across a data object's entire life.
Context-aware classification determines sensitivity by origin, creator, and use, not just keywords or file type.
AI detects anomalies, automates triage, and distinguishes legitimate collaboration from exfiltration at scale.