AI Changed Work. We Protect It.
Sensitive data moves through workflows that span people, AI agents, endpoints, browsers, cloud, and AI apps. Separate data loss prevention (DLP), insider risk, AI security, and data security posture management (DSPM) tools each see only part of that picture. This datasheet shows how Cyberhaven traces the full lifecycle of your data, adapting protection to changing context across human and agentic workflows.
What's inside
Why Separate Security Tools Leave Blind Spots
Sensitive data moves through workflows that span people and AI agents, across endpoints, browsers, cloud, and AI apps, where no single tool sees the whole path.
Separate DLP, insider risk, AI security, and DSPM tools each see only part of the picture, which leaves blind spots, alerts that do not connect, and slow investigations.
With agents acting at machine speed, every gap between tools becomes a path to data loss, whether the data is at rest or in motion.
One Platform That Protects Human and Agentic Workflows
Flow combines DLP, insider risk management (IRM), DSPM, and AI security to protect data across human and agentic workflows.
It connects lineage, identity, and behavior to protect data as it is created, copied, fragmented, and shared, adapting protection to the changing context of work.
Linea AI agents combine lineage context with content to find the few risky workflows among trillions, so analysts spend their time on real risk.
Protection for Agents, People, and Data at Rest
Agentic Data Security governs AI apps, agents, Model Context Protocol (MCP) servers, and coding agents like Claude Code and Cursor, and records what agents access and do.
Human Data Security follows data through email, web, personal cloud, USB, print, and cloud apps, and flags risky behavior, from accidental exposure to hoarding by departing employees.
DSPM discovers and classifies sensitive data across cloud services, endpoints, and AI tools, shows what is exposed to people and agents, and remediates risky posture.