Agentic Data Security: How Cyberhaven Secures Agent Workflows

Agentic workflows move sensitive data through systems that most security tools never see. This walkthrough follows one workflow from start to finish. A user shares customer data with an agent, the agent calls Model Context Protocol (MCP) servers to enrich its analysis, and the combined dataset is saved locally and shared through email, web upload, and USB.

The video runs the workflow once without protection, then runs the same workflow again with Cyberhaven in place.

With Cyberhaven, you will see:

Protection at the endpoint, where human and agentic workflows come together

• Sensitive data prevented from reaching an unsanctioned external large language model (LLM), such as one accessed through a personal account or a risky model
• Data movement to and from unsanctioned MCP servers blocked
• Sensitive data kept inside sanctioned corporate environments
• Full lifecycle tracing of where data came from, where it goes, and whether it is sensitive
• Protection that adapts to context, so public data is allowed and corporate data is blocked

Cyberhaven traces the full lifecycle of your data, adapting protection to changing context.

Request a demo at https://www.cyberhaven.com/request-demo

AI Changed Work. We Protect It.
Cyberhaven | Data Security for the Agentic Enterprise