Traditional data loss prevention tools were built for an era when sensitive data primarily left the organization through email attachments and USB drives. Today, employees paste confidential text into public AI chat tools, upload spreadsheets to unsanctioned SaaS applications, and share links through collaboration platforms that extend well beyond the organization’s controlled perimeter.
Extending DLP to where risk actually lives
Modern DLP programs need visibility into cloud application usage and browser-level activity, not just network egress and endpoint file transfers, since a significant share of data exposure now happens inside a browser tab rather than crossing a monitored network boundary. Policies should distinguish between sanctioned AI tools with enterprise data protection agreements and public consumer tools where submitted data may be used for further training.
Classification remains the foundation: DLP rules are only as good as the data classification underneath them, and organizations that skip this step end up with either overwhelming false positives or silent gaps in coverage.
JIG helps enterprises modernize DLP programs to address where sensitive data actually flows today, not where it flowed a decade ago.