Find the AI Your Policy Doesn’t Know About
Employees are already pasting customer data into consumer AI on personal accounts. AgentFence’s browser sensor surfaces who is using which AI tools, what sensitive data is going in, and which extensions are risky.
Illustrative product view
What shadow AI is
Shadow AI is AI use that happens outside your governance - an employee pasting a customer list into a personal ChatGPT account, a team wiring a consumer model into a workflow, a risky browser extension siphoning page content. It is the AI equivalent of shadow IT, and it is where regulated data quietly leaves your control. AgentFence detects it with a browser sensor that surfaces the activity so you can govern it.
What the sensor surfaces
- Which AI tools are in use - ChatGPT, Claude, Gemini, and others
- Personal accounts used on a corporate domain
- Sensitive pastes and uploads into consumer AI
- Risky browser extensions that can read page content
| Signal | Risk | Typical response |
|---|---|---|
| Personal AI account on corp domain | Data leaves governance | Move to SSO / governed access |
| Sensitive paste into consumer AI | Regulated data exposure | Alert + coaching |
| Risky extension reading pages | Silent data exfiltration | Block / remove extension |
| Unknown AI tool adopted by a team | Ungoverned workflow | Bring into the AI-BOM |
How detection runs
The browser sensor observes AI-tool usage at the point it happens and reports the signals centrally. A scan can be triggered via POST /api/scan/run, and findings surface for review. Detection is about visibility and coaching first - the point is to bring shadow AI into governance, not to punish.
From detection to governance
What to do with a finding
- 1
See it
The sensor surfaces the tool, the account, and the sensitive activity.
- 2
Classify it
Data classification identifies what kind of data was exposed.
- 3
Coach or block
Route the user to a governed alternative or block the risky path.
- 4
Inventory it
Add the sanctioned tool to the AI-BOM so it is tracked going forward.
- 5
Record it
The finding and response are recorded as evidence of the control operating.
Frequently asked questions
How do you detect shadow AI?
AgentFence uses a browser sensor that observes AI-tool usage where it happens - surfacing who is using ChatGPT, Claude, or Gemini, whether they are on personal accounts, whether sensitive data is being pasted or uploaded, and whether risky extensions are present. A scan can be run on demand, and findings surface centrally for review.
What is shadow AI?
Shadow AI is AI use that happens outside your governance and policy - typically employees using consumer AI tools on personal accounts and feeding them company or customer data. Like shadow IT, it is risky mainly because it is invisible, so regulated data can leave your control without anyone noticing.
Why is personal-account AI use a risk?
When someone uses a personal AI account on a corporate domain, the data they enter is outside your controls, retention rules, and DLP. AgentFence flags personal accounts on corp domains specifically so you can move that usage to a governed, SSO-backed alternative.
Does shadow AI detection block usage?
Detection is about visibility first - surfacing the tools, accounts, sensitive pastes, and risky extensions so you can respond. From there you can coach users toward governed alternatives, block risky paths, or bring a sanctioned tool into your AI inventory. It is designed to bring shadow AI into governance, not just to alarm.
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See the AI your policy misses
Surface shadow AI use before regulated data walks out the door.
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