It Isn’t Just Websites Anymore
AI runs in desktop apps, terminals, IDEs, and local models, where browser controls can’t see.
Netra finds AI in browsers, desktop apps, coding agents, and MCP servers, tells corporate from personal accounts, and shows which data went where.
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Product views on this page use illustrative data.
The Challenge
Most discovery stops at the web proxy. AI use doesn’t.
AI runs in desktop apps, terminals, IDEs, and local models, where browser controls can’t see.
Corporate and personal ChatGPT share one domain; a domain rule can’t tell them apart.
An app list doesn’t say who uses it, for what, or with which data.
What You Get
From real traffic and installs, not a vendor list.
Web AI apps, desktop apps, CLI coding agents, IDE extensions, MCP servers, Agent Skills, and local models.
Each AI session is tagged corporate or personal, so reports show who uses personal accounts.
Keep the corporate account open, warn on the personal one, block only what you must.
Usage Insight
Risk Flow Analysis
Department → Tool → Topic → Sensitivity data flow
Conversations are grouped into use cases automatically.
Separates human chat, assisted work, and autonomous agent runs.
Sessions, users, and topics by tool and department.
In this example, most sensitive content comes from two departments, so policy goes there first.
Govern BYOAI
Banning AI pushes it into the shadows. Netra keeps the corporate account open and blocks only what you must.
Next Steps
Block sensitive data in prompts, uploads, and responses.
Learn moreControl Claude Code, Cursor, and Codex on developer machines.
Learn moreControl MCP servers, Agent Skills, and local models.
Learn moreAttribute AI spend to departments, then cap it.
Learn moreFAQ
Both, by policy. Netra observes by default; per app, account type, user, or department you allow, warn and let the user continue, or block.
Yes. One policy allows the corporate workspace and warns on or blocks the personal account.
Observe first, whitelist sanctioned apps, set policy by account type, then block high-risk unsanctioned apps department by department.
Which AI apps, agents, and personal accounts are in use by department, and which data went to which tool.