Cyberhaven

Cyberhaven is an enterprise AI security platform that gives security teams visibility into how AI applications and autonomous agents access, process, and act on sensitive data. It automatically discovers AI tools running across endpoints, browsers, command-line interfaces, and developer environments — including shadow AI that cloud-only security solutions miss. The platform tracks data lineage, mapping every piece of data from its origin through every move, copy, and edit, so security teams know exactly what information reaches each AI agent and what happens to it.

The platform includes several features that separate it from traditional data loss prevention (DLP) tools. Shadow AI Discovery continuously inventories AI agents, MCP servers, and coding assistants. Agentic AI Visibility reconstructs the full execution lifecycle of agent interactions, showing tool calls and multi-turn context in a single view. AI Risk IQ scores every AI tool and agent across five dimensions — data sensitivity, model integrity, compliance, user access, and security infrastructure — and updates scores quarterly without requiring customer configuration. AI Data Flow Control enforces runtime guardrails at the prompt and response level, blocking or redacting high-risk data movement while coaching employees with plain-English explanations. The platform also includes MCP Server Monitoring and unified reporting from the same console used for DLP and insider risk management.

Cyberhaven is built for security teams, IT administrators, and compliance officers who need to govern AI adoption without slowing innovation. It works well for organizations running developer coding assistants, agentic workflows, or large numbers of generative AI apps. Real-world use cases include discovering unauthorized AI tools, monitoring sensitive data flowing into agents, and producing audit-ready records of AI activity for regulatory reporting. The platform is designed to enforce policies at machine speed, keeping ...