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
18
apps with a highlight while you type: AI tools, email, chat, and social
0 sec.
The text you type is processed and discarded at once
Local or EU
Detection runs on-device or on EU infrastructure
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.
The catalog already covers more than 55 AI tools built for engineering, from AI code editors to autonomous coding agents, each scored on data governance, jurisdiction, and vendor trust. When a developer opens one, you see it appear. Then the organisation decides: allow it, allow it with a condition of your own, or not allow it. Anyone opening the tool afterwards sees that decision in the browser, with the approved alternative leading.
Engineers can remove credentials before asking an AI tool or teammate for help.
A stack trace, an incident report, a sample data export: open it in the Mac or Windows desktop app, and API keys, tokens, customer emails, and account numbers are marked for you to remove before you share the document or paste it into AI.
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 engineering
The same risk shows up in different workflows, from debugging to data migrations.
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, passwords, tokens and other credentials, and personal data such as names and email addresses while you type.
Runs in the browser, in AI tools, email, and chat, plus a desktop app for macOS and Windows for on-device detection. 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 figures security and audit ask for: how many markings developers adjusted before sending and how many went out anyway, what happened after a tool notice, and what share of AI use runs through approved tools. All at organisation level, never per developer.
Total detections
12,438
Top apps
Example dashboard. Counts and types only, never content.
Security officer
Show auditors and the organisation that a control sits at the moment of input, with figures per period: markings adjusted or sent anyway, a recorded decision per AI tool, and what people did with the notice.
Engineering lead
The dashboard shows no text and no single people: only aggregate counts, with no per-employee drill-down anywhere. Insight into patterns, not surveillance of people.
CISO and IT
No proxy and no new application. The extension runs in Chrome and Edge. Detection runs on-device or on EU infrastructure, all traffic encrypted in transit.
Honest answers
Straight answers to the questions people actually ask before rolling this out.
No. The extension analyses text in the input fields of supported tools to highlight sensitive data. In on-device mode, that text never leaves the machine. Otherwise it 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 to configure and nothing changes in your network. The desktop app for on-device detection and document redaction is optional. 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