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ChatGPT Data Loss Prevention for Teams

Traditional data loss prevention tools monitor files, email and storage. They were not built for the prompt box. When employees paste client details, financial records or internal project data into ChatGPT, most DLP systems see nothing.

Local scanning only No data egress Chrome extension Two-minute setup
Direct answer
How to prevent sensitive data from being sent to ChatGPT

Ventrin is a Chrome extension that scans and sanitises employee prompts locally in the browser before they are sent to ChatGPT, Claude, Gemini or Copilot. When sensitive content is detected, Ventrin warns the employee, rewrites the prompt automatically, or blocks the send — depending on your team's policy. Sensitive data never leaves the device unintentionally. Admins see every risk event in a central dashboard.

Why AI prompts create a new data leak path

Most DLP systems inspect file transfers, email attachments and USB devices. They were designed before AI tools existed. Today an employee can paste a full client contract into ChatGPT in seconds — and most security platforms will not raise an alert.

The prompt box has become an unmonitored channel. Employees are not trying to cause harm. They are trying to complete work faster. The result is the same: confidential content leaving the organisation through a tool no one can see into.

Client data pasted verbatim

Contract terms, client names, matter references and correspondence copied directly into a prompt.

Personal information included

Employee records, candidate profiles, customer PII and date of birth details used as context.

Credentials sent to AI models

API keys, tokens, passwords and internal access details included in debugging prompts.

Financial data exposed

Revenue figures, forecasts, margin data and account details shared to generate summaries.

Internal code and config

Proprietary code, configuration files and system architecture pasted for review or debugging.

How Ventrin provides prompt-level DLP

Ventrin is a Chrome extension that runs entirely on the employee's device. Before a prompt is sent to ChatGPT, Claude, Gemini or Copilot, Ventrin scans it for sensitive content.

When a risk is detected, Ventrin can warn the employee, rewrite the prompt with sensitive details removed, or block the send entirely — depending on the policy your team has configured.

No prompt content is processed on Ventrin's servers. Detection happens locally in the browser, which means sensitive details never leave the device unintentionally.

Ventrin runs entirely on device. No prompt content is processed by Ventrin's servers. Detection happens locally in the browser before any prompt is sent.

Key Ventrin features for this use case

Local Prompt Scanning

On-device detection model runs before every send. No data egress for the scan itself.

Sensitive Data Detection

Identifies client names, contact details, matter references, financial figures and internal identifiers.

Prompt Sanitisation

Rewrites prompts to preserve intent while removing or generalising specific sensitive details.

Credential Blocking

API keys, tokens and passwords are blocked, not rewritten. They should not reach AI tools.

Admin Audit Trail

Every flagged event is logged. Admins can review risk type, action taken, tool used and timing.

Multi-Tool Coverage

Works with ChatGPT, Claude, Gemini, Copilot and other browser-based AI tools.

See how Ventrin handles risky prompts

Select a prompt category to see the original content, what Ventrin detects and the safe rewritten version.

Unsafe prompt
Write a demand letter for Smith & Associates v. Hargreaves Property Group. The dispute involves £2.4m in unpaid invoices from a commercial lease at 14 Fenwick Road, London EC2.
After Ventrin
Write a demand letter template for a commercial lease dispute involving unpaid invoices. Include standard clauses for late payment and breach of contract.
Risk detected Client names, matter details, financial figure and property address identified
Action Sanitised — client identifiers and specific amounts removed
Log event WARN › client_identifier · matter_ref · financial_figure · address › sanitised
Unsafe prompt
Summarise this HR note: Sarah Chen, DOB 14/03/1985, has been on sick leave since 2 January. She has raised a grievance against line manager James Okafor.
After Ventrin
This prompt was blocked. Employee grievance records containing named individuals and personal data should not be processed by external AI tools.
Risk detected Full name, date of birth and a second named individual detected as personal data
Action Blocked — employee grievance data with named individuals cannot be sent to external AI tools
Log event BLOCK › pii_name · pii_dob · employee_record · third_party_name › blocked
Unsafe prompt
Why is this returning 401? My API key is sk-proj-xKz9mN2pQ4vR7wL1jT6sB. Running against the prod endpoint at api.internal.co.
After Ventrin
This prompt was blocked. API keys and credentials must never be included in AI prompts. Remove the key, describe the issue without it, and check your authentication configuration locally.
Risk detected Active API key string and internal hostname detected
Action Blocked — credentials are not rewritten. This prompt cannot proceed.
Log event BLOCK › credential_api_key · internal_hostname › blocked · high_severity
Unsafe prompt
Summarise Project Nighthawk for the board. Q2 revenue target is £8.2m. We are at 67% of target. Key risk: acquisition of Meridian Labs may not close before quarter end.
After Ventrin
Summarise Q2 progress for a board update. The business is at approximately two-thirds of its revenue target. Key risk is a pending acquisition that may not complete in time.
Risk detected Internal project name, revenue figures, acquisition target identified
Action Sanitised — project name and company identifiers removed. Figures generalised.
Log event WARN › project_name · financial_figure · acquisition_target › sanitised
Unsafe prompt
Improve this clause: "Fees of £450,000 per annum shall be payable by Nexus Digital Ltd to Patterson Consulting in quarterly instalments beginning 1 April 2026."
After Ventrin
Improve this clause: "Annual service fees shall be payable in quarterly instalments. Payment begins on the agreed contract start date. Late payments incur interest at the statutory rate."
Risk detected Company names, fee amount and contract dates identified
Action Sanitised — company names and specific fee values removed
Log event WARN › company_name · financial_figure · contract_term › sanitised

Built for teams that cannot afford a data incident

Local-first detection

The scanning model runs in your browser, not on our servers. Sensitive content never leaves the device for analysis.

No data egress

Ventrin does not receive, store or process your team's prompt content. Only risk event metadata is logged.

Configurable policy controls

Warn, sanitise or block based on content type and team role. Full control over how the extension behaves.

Admin event logs

Every flagged event is recorded with risk type, action and timestamp. Provides the audit trail your compliance process needs.

Protect your team's AI use from the browser

Ventrin deploys as a Chrome extension. No proxy, no network change, no IT project. Most teams are protected on the same day.

Frequently asked questions

Let your team use AI without leaking sensitive data.

Join legal and professional teams already using Ventrin to protect their AI use. Browser-based, locally detected, fast to deploy.