Engineers use AI coding tools all day. BeeSensible highlights API keys, tokens, and customer data in the text you write, before a prompt or message leaves the company.
Who this is for
20+
AI tools, email, and chat where the extension watches along
0 sec.
The text you type is processed and discarded at once
EU
Detection and storage stay inside the European Union
A stack trace, a log line, a snippet from production: exactly the text you paste into an AI tool to fix a bug faster. And exactly the text with an access token, a connection string, or a customer email in it. BeeSensible highlights that data while you type, so you can remove it before you send.
From the field
An engineer is stuck on an error and pastes the whole code fragment into ChatGPT. That fragment holds a connection string with a password and an API key from the staging config. The answer is ready at once, but the key has now been processed by an outside tool and really needs to be rotated.
A developer asks AI to read a trace that breaks on an edge case. Between the lines sit an access token, a customer's email address, and an account number from the payload. The explanation is correct, but a real user's data has now left the company.
After a report of a leaked key, the engineering lead wants to know which secrets and customer data ended up in which AI tools. A guideline on responsible AI use exists. Proof that developers got a warning at the moment itself does not.
Guidance while people write
Engineers can remove credentials before asking an AI tool or teammate for help.
Why this is hard
Engineers use Copilot, ChatGPT, and Claude to fix bugs, explain code, and write queries. Often with a snippet from production right next to them. Policy lags behind what happens every day.
An access token or connection string in a consumer AI tool means you have to rotate it and report it. Even when the developer acts in good faith, it is a breach.
Logs, traces, and query results are full of names, email addresses, and account numbers of real users. In the rush of debugging, those go straight into a prompt.
AI tools in the browser leave no network trail that existing DLP tools can read. What developers paste into a prompt stays invisible until it causes a problem.
Across education
The same risk shows up in different files, from primary school to research.
Debugging
Snippets and error messages you paste into an AI tool, often with a key or password mixed in.
Code review
Diffs and pull requests you ask AI to summarise, config and credentials included.
Logs and traces
Stack traces and log lines full of access tokens and real users' data.
Incidents
Postmortems and reports where payloads with customer data get pasted in.
Data migrations
Sample rows and queries with names, email addresses, and account numbers.
How BeeSensible helps
Sensitive details get a highlight while staff write. They decide what to remove, replace, or mask.
Highlights API keys, JWT tokens, OAuth credentials, connection strings, and personal data such as names and email addresses while you type.
Runs in the browser, in AI tools, email, and chat. No IDE plugin, no proxy, no training up front.
You choose: remove, replace with a realistic alternative, or mask. The extension never changes your text on its own and never blocks sending.
Security sees patterns by tool and category. What an individual developer writes is never stored and cannot be read.
For engineering leads, security, and CISOs
BeeSensible gives you the evidence accountability asks for, while respecting the privacy of your own developers.
Total detections
12,438
Top apps
Example dashboard. Counts and types only, never content.
Security officer
Show auditors and the wider organisation that developers get a warning at the moment of input, backed by counts of detections and handled prompts.
Engineering lead
The dashboard shows no text and no single people. Groups smaller than ten users are not shown. Insight into patterns, not surveillance of people.
CISO and IT
No proxy and no new application. The extension runs in Chrome and Edge. Detection and storage stay inside the EU, all traffic over TLS 1.3.
Honest answers
If a tool cannot answer these, it does not belong on your browsers. Here is where BeeSensible stands.
No. The extension analyses text in the input fields of supported tools to highlight sensitive data. That text travels to a BeeSensible server inside the EU, is processed in working memory, and is discarded at once. The content is never stored and cannot be read by anyone, not even an administrator.
No, BeeSensible blocks nothing. You see a highlight in the text and choose what to do: remove, replace, or mask. The developer stays in control, and security gets insight into patterns.
No tool makes you compliant on its own. BeeSensible helps with GDPR by covering the moment of input and supporting your accountability. Your organisation stays the controller, BeeSensible is the processor, and a processing agreement is signed.
Yes. The detection engine handles Dutch and English reliably and recognises both technical secrets and personal data, such as names, email addresses, and account numbers.
Limited. There is no proxy or new application to install and nothing changes in your network. The extension runs in the browser your team already uses and can be rolled out centrally through your management console.
Compliance
GDPR
Supports your accountability and covers the moment personal data is entered.
Secrets and credentials
Helps recognise API keys, tokens, and connection strings before they reach an AI tool or log.
Processing agreement
A processing agreement is signed with every customer. A product DPIA is available on request.
EU processing
Detection runs on the user's own machine, or on ISO 27001 certified EU infrastructure (API in the Netherlands, detection in Germany).
BeeSensible works in the tools your team already uses. No rollout project, and you see your first detections in minutes.
ChatGPT