The quiet exit of
your IP.
Know when source code, designs, customer records, or models leave, and whether they were meant to.
Know when source code, designs, customer records, or models leave, and whether they were meant to.
The object moves. The story leaves with it.
MCP creates new paths for covert exfiltration. Data also leaves through AI tools, browser uploads, and git clones to personal machines. DLP can follow a file. It struggles to follow the full exit: who moved it, where it went, what channel carried it, and whether the action belonged. The signal is there. The intent is not.
Anzenna watches MCP activity and browser AI flows as they happen. Every movement is tied back to an identity, giving security teams clear visibility into what is entering AI systems, through which path, and under whose hand.
The browser is often where the quiet exit begins. Anzenna captures file uploads and movements there, then connects them back to sensitive company data so the full exfiltration lineage comes into view.
Anzenna correlates git operations, Salesforce exports, and other data movements with identity context, HR status, and peer behavior. What looks like a simple export on the surface becomes a complete investigation, with the context and reporting security teams need to find real threats.
Anzenna caught one of our engineers uploading sensitive source code into their personal github repo.
Fifteen-minute install. Read-only by default. No agents on endpoints.
Thirty minutes. Your environment, not our slides.
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