If it's sensitive, we spot it before it reaches the AI.
Passwords and keys. Customer and personal data. Financial details. Confidential files. Even the sensitive things that don't follow a fixed format, like a name or a home address. Tracehold recognises all of it right on the device — local by default, before anything leaves the browser — so your team keeps using AI and your secrets stay yours.
The sensitive data your team shares without thinking
These are the everyday leaks — pasted into a chatbot to save five minutes. Tracehold knows what each of them looks like.
Passwords & keys
Login credentials, API keys and access tokens for cloud, code and AI accounts — the kind of secret that should never be pasted anywhere.
Customer & personal data
Names, emails, ID numbers, addresses and health information — including the special categories that GDPR treats with extra care.
Financial details
Card numbers, bank accounts (IBANs), payslips and salary figures — spotted reliably, not just guessed from the shape of the digits.
Confidential files
Contracts, internal documents, "CONFIDENTIAL" and NDA material, and deal-related content you don't want leaving the building.
It catches the data that doesn't follow a pattern
Most "data protection" only spots things with a strict shape — a card number, a postcode. Real sensitive data is messier than that. Someone's name, their address, their date of birth, the salary on a payslip: there's no fixed format to match.
Tracehold reads the language the way a person would, so it recognises this free-form personal information in context — even buried in the middle of an ordinary sentence. And it does this on the device: by default, the actual words never leave the machine to be analysed — any server-side reading is an explicit admin opt-in.
Names, addresses, dates of birth
The everyday personal details that have no fixed shape — recognised in plain sentences, not just in forms.
Tunable to your appetite
Decide how cautious it should be, and whether to warn, hide the data, or just quietly observe.
The data stays put
The analysis happens locally by default. The sensitive text isn't copied off the device to make the decision unless an admin deliberately enables a server-side option.
Your own watchlist, on top
Add the client names, project codenames or executives that matter to you, and Tracehold flags them too — even though they'd otherwise read as ordinary text with no fixed shape at all.
A customer's name
Recognised even though it's just words.
A date of birth and a home address
Personal data with no rigid format.
A payslip reference
Financial and personal in one go.
It reads screenshots and files, not just typed text
A secret hidden in a screenshot or a PDF is still a leak. Tracehold reads the text inside images and documents before they reach an AI tool — and it does it on the device, so the file's contents stay with you.
Screenshots & images
Pasting a screenshot of a console, an invoice or an ID card? Tracehold reads the text in it and treats it like any other sensitive content.
Documents & attachments
PDFs, Word files and spreadsheets are scanned too — so a contract or a customer list doesn't slip through as an upload.
Stays private by default
The reading happens locally, in two layers, before anything reaches a server. The rare fallback — only when a browser can't read images locally, or an admin opts into it — still sends back just the detection result, never the extracted text itself.
Real product recording, illustrative sample data — a .env file is caught and the upload is blocked before it ever reaches the AI.
Alerts you can trust, not noise you'll ignore
The fastest way to make a security tool useless is to flood people with false alarms. Tracehold is built to be precise, so when it speaks up, it's worth listening.
It checks, it doesn't guess
A card or bank account number is verified to be real before it raises a flag. Numbers that just look the part don't trigger an alert.
Test and example data is ignored
The obvious placeholder values developers paste in every day are recognised as harmless and left alone — so test data never cries wolf.
You can tune and make exceptions
Set how strict it should be, and create targeted exceptions for the cases that matter to you — without leaving gaps in your coverage.
Don't just block it — hide the sensitive part and let the rest go
Blocking everything frustrates people and pushes them to a tool you can't see. So when Tracehold finds something sensitive in a message, it can simply hide or strip that one piece — the password, the account number, the customer's name — and let the rest of the prompt carry on to the AI.
The employee keeps working. The AI still gets a useful question. By default, the sensitive value never leaves the machine. And before anything is sent, Tracehold double-checks that no original secret slipped through — if one did, the message is stopped, not sent.
The rest still works
Only the sensitive bit is swapped out, so the AI can still answer the actual question.
A final safety check
Right before sending, Tracehold confirms nothing sensitive remains — or it stops the message.
A clear heads-up
The person sees what was caught and why, and you get an audit trail — without the prompt being stored.
The same protection, wherever AI gets used
The same detection runs across every way your people reach an AI — so a leak can't simply move to a channel you weren't watching.
The browser
ChatGPT, Claude, Gemini, Copilot and 300+ other AI tools and sites we track by name — plus a live heuristic that flags AI services we haven't catalogued yet, so unapproved "shadow AI" doesn't slip through just because it's new.
The desktop
Desktop apps and email get the same coverage, so protection follows your people beyond the browser tab.
Developer tools
It works with the developer and terminal tools your engineers already use — where some of the most valuable secrets live.
What buyers ask about detection
What kinds of sensitive data does it actually catch?
How does it catch data that doesn't follow a fixed pattern?
Will it flood my team with false alarms?
Does it scan images and documents, or only typed text?
If something sensitive is found, do you just block the whole message?
Where does the detection run — and does our data leave the machine?
See what Tracehold would catch in your environment
Book a short demo and we'll show you, on your own data, exactly what would have been spotted and hidden — with zero disruption to your people. Start in observe-only on any channel before you enforce a thing.