What Are Data Privacy Risks in AI?
This includes an employee pasting confidential data into a public chatbot, a coding assistant reading proprietary source code, an autonomous agent passing data between connected tools, or a homegrown LLM application surfacing information it was never meant to expose. As AI tools gain more autonomy and more connections to internal systems, the number of paths data can leak through keeps expanding.
How Data Privacy Risks Show Up in AI
- Employees sharing confidential information through first party or third party AI tools.
- Developers exposing proprietary code or secrets through AI coding assistants.
- Agents and MCP-connected tools moving sensitive data between systems without oversight.
- Homegrown AI apps exposing company or customer information to their users.
