AI security guides for the browser

ChatGPT data leakage happens when employees paste sensitive company or customer information into AI prompts and that data leaves your controlled environment.

Sensitive information in AI prompts is the most common GenAI failure mode: employees paste private data into a prompt to get work done faster.

AI DLP in the browser is about controlling what can be typed, pasted, or uploaded into AI tools—because the browser is where the leakage actually happens.

Prompt injection is when hidden or malicious instructions cause an AI system to ignore its intended rules and do something unsafe or unintended.

Indirect prompt injection happens when an AI system ingests untrusted content (like a web page or document) that contains hidden instructions that the model follows.

Shadow AI is when employees use unapproved AI tools (chatbots, extensions, copilots) for work—often by pasting sensitive data into prompts without visibility or controls.

Microsoft Copilot security is about preventing sensitive data from being exposed through prompts, plugins, and cross-app context when users work in browser-based copilots.

Google Gemini security is about controlling what users paste and upload into browser-based AI tools and preventing sensitive data from leaving your environment unintentionally.

Claude security is about preventing sensitive data leakage through prompts and uploads and managing the browser workflows that make it easy to share secrets with AI tools.

AI plugin and tool data exfiltration happens when AI tools gain access to external services (browsers, connectors, plugins) and unintentionally move sensitive data across boundaries.