Protecting confidential business data when teams use AI tools
Most organisations now use AI tools every day. Employees rely on ChatGPT, Gemini, Claude, and Copilot to analyse data, draft content, and answer questions, but they often do this with confidential business data the organisation cannot afford to expose.
Few teams can answer simple questions like:
What confidential data is leaving our organisation through AI tools? Could our payroll, financial, or customer data be stored on a public AI platform right now? How do we let employees use AI without putting the company at risk?
This case study shows how a data masking browser extension built by Amazatic for an enterprise AI security company can:
- Give employees a single working surface for AI tasks, with the choice of AI tool kept under user control
- Mask sensitive data before it reaches public AI tools, automatically and in real time
- Show the AI’s output back to the user in the context of the original data, without the data ever leaving the company
- Show the AI’s output back to the user in the context of the original data, without the data ever leaving the company
If your teams are using AI tools but you are unsure what data is leaving the company in the process, this case study will give you a practical way to think about it. Download the full case study.
