Credentials end up in AI prompts
Pasting a code snippet to ask ChatGPT for help is second nature. But that snippet often contains API keys, tokens, or user data from a real environment.
Keep secrets, tokens, and user data out of AI coding tools and internal communication.
Who this is for
Developers use AI coding assistants every day. API keys, access tokens, database credentials, and user data end up in prompts more often than anyone admits. BeeSensible makes it visible before the key is pasted.
Where it goes wrong today
Pasting a code snippet to ask ChatGPT for help is second nature. But that snippet often contains API keys, tokens, or user data from a real environment.
Log files, stack traces, and database query results shared with AI tools can contain names, emails, and other identifiers. It happens in a hurry, not maliciously.
Browser-based AI tools generate no network logs that existing DLP tools can inspect. The exposure is invisible until it causes a problem.
Inline guidance, not a blocker
Engineers do not need to think about what is a secret. BeeSensible highlights credentials as they are typed, whether in a debug prompt, a support ticket, or a team chat.
How BeeSensible helps
The product covers the surface where the risk actually lives: the compose area of the AI tools and communication apps your people already use.
Recognises API key patterns, JWT tokens, OAuth credentials, database connection strings, and private key fragments before they're submitted.
Copilot, ChatGPT, Claude, Gemini: BeeSensible runs in the browser where developers already are, without changing their workflow.
No proxy routing, no MITM certificate, no special network configuration. Detection runs on BeeSensible's own EU servers, not through a third-party proxy.
Show your security team that controls exist for AI tool usage, with detection data by tool and category to back it up.
BeeSensible fits into how developers already work. No workflow change required.