Employees access both sanctioned and shadow applications through browsers, downloading sensitive files and uploading to personal cloud storage or unauthorized destinations with no visibility into cross-application data movement.
Sensitive data leaves endpoints through clipboard operations, cloud sync folders, USB devices, printing, and screen captures - creating too many vectors for traditional DLP to effectively monitor without crippling performance.
Legacy DLP deploys heavy agents that consume excessive CPU/memory resources on MacOS and Windows devices, creating productivity-killing lag, battery drain, and employee frustration impacting security initiatives.
Pre-trained LLM and Computer Vision models detect sensitive content with 95% precision - even identifying data within clipboard operations, screenshots, and cross-application transfers where conventional agents fail completely.
Track sensitive content from sanctioned applications to external destinations - maintaining visibility when data moves from corporate apps to personal apps or unauthorized destinations, webmail, messaging platforms, USB devices or more. Detect when content containing PII, credentials, source code or proprietary information crosses security boundaries through any exfiltration channel.
Monitor clipboard operations, browser uploads/downloads, cloud sync folders (Dropbox, Box, iCloud Drive), USB transfers, printing activities, and screen captures with a single lightweight solution. Detect every potential data exfiltration attempt regardless of channel.
Deploy light-weight browser extensions, agents that consume minimal system resources while maintaining complete visibility. Eliminate the performance penalties of legacy DLP without sacrificing security coverage with seamless, intuitive workflows.
Coach employees with real-time notifications about risky data transfers. Enable self-justification workflows that document legitimate business needs while preventing accidental data exposure through guidance rather than blocks.