AI Moves Fast. Govern It Faster.
Autonomous agents like Claude Code, Codex, and Copilot now run on endpoints, inherit employee identity, and act at machine speed, with no traditional security control watching. This datasheet shows how Cyberhaven inventories every AI app and agent, traces data across agentic workflows with Data Lineage, and enforces policy at the prompt and response level, so you can govern AI without slowing it down.
What's inside
Why legacy DLP goes blind on AI
Agents like Claude Code, Codex, and Copilot inherit employee identity, reach production data, and act at machine speed, with no traditional control watching.
Legacy DLP was built for browser-based, human-speed activity. It can’t tell a governed corporate ChatGPT instance from a personal account leaking IP.
Goal hijacking, privilege abuse, and multi-step exfiltration move faster than security teams can catalog the shadow agents and unmanaged MCP servers behind them.
See every AI app, agent, and data flow
A Data Lineage graph, AI-powered content inspection, and a lightweight endpoint agent deliver real-time visibility across SaaS, endpoints, and developer environments.
Shadow AI Discovery surfaces hundreds of AI tools across endpoints, browsers, CLIs, and IDEs, personal and corporate accounts alike.
Coverage spans ChatGPT, Copilot, Gemini, Claude, Claude Code, Codex, Perplexity, MCP servers, and hundreds more, plus 300+ cloud apps and every major IDE and Git host.
Govern agents before they become a liability
Agentic AI Discovery reconstructs full execution lifecycles: tool calls, data access, API invocations, and multi-turn context.
AI Data Flow Control blocks, warns, or redacts at the prompt and response level, replacing generic block pages with plain-English risk explanations.
AI Risk IQ scores every app and agent across five dimensions: data sensitivity, model integrity, compliance adherence, user access, and security infrastructure.