Stop Pasting Secrets Into ChatGPT

You're debugging a function. You copy the entire file — environment variables and all — and paste it into an AI chat. Ten seconds later, your AWS secret key, database connection string, and a client's email address are sitting on someone else's server. This happens thousands of times a day, and most people don't realize it until it's too late.

What Actually Happens to Your Data

When you paste text into an AI model through a web interface, that input is transmitted to a remote server for processing. Depending on the provider and your plan, that data may be logged, stored temporarily for abuse monitoring, or used to improve future model training. Even providers with strong privacy policies still process your input on infrastructure you don't control.

The risk isn't theoretical. Security researchers have documented cases of API keys, internal URLs, database credentials, and personally identifiable information appearing in model outputs — not because the model memorized your specific input, but because enough similar data was present in training sets to reconstruct patterns.

The Most Common Things People Accidentally Expose

• API keys and tokens — AWS, Stripe, OpenAI, Firebase, and dozens of other services use long alphanumeric strings that are easy to miss in a block of code
• Email addresses — yours, your clients', your users'. Often embedded in config files, logs, or test data
• Database connection strings — including hostnames, usernames, and sometimes passwords in plaintext
• Social Security Numbers and ID numbers — common in documents, forms, and data processing scripts
• Internal URLs and IP addresses — revealing your infrastructure architecture to an external service

The 5-Second Fix

The solution isn't to stop using AI tools — they're too valuable for that. The solution is to scrub your text before you paste it. Run it through a PII detection tool that strips or masks sensitive patterns automatically.

AI-Text Scrub runs entirely in your browser. You paste your text, it highlights and redacts anything that matches known PII patterns — API key formats, email addresses, Social Security numbers, credit card numbers, phone numbers, and more. You get a clean version to paste into whatever AI tool you're using. The original text never leaves your device.

Why "I'm Careful" Isn't Enough

Manual review doesn't scale. When you're moving fast — debugging at midnight, prepping a client report, processing data — you're not reading every line for sensitive patterns. You're focused on the problem you're solving, not the metadata embedded in the content.

Automated detection catches what your eyes skip. It doesn't get tired, doesn't get distracted, and it processes the entire input in milliseconds. It's the same principle behind why code linters exist: humans make consistent, predictable mistakes that machines are better equipped to catch.

Build the Habit

The people who avoid data leaks aren't the ones who are more careful. They're the ones who built a system that catches mistakes before they happen. Adding a scrub step before pasting into AI is like adding a linter to your commit pipeline — it costs nothing and prevents everything.

The best privacy practice is the one that doesn't require you to think about it. Automate the scrub, remove the risk.

Beyond Text: Protecting the Full Pipeline

Text scrubbing is one layer. If you're sharing images, those carry metadata too — GPS coordinates, device information, timestamps. If you're generating passwords and reusing them across services, that's another attack vector. Privacy isn't one tool or one habit. It's a stack.

OneKit provides the tools for each layer of that stack — all free, all browser-based, all private by design. Your data stays on your device. That's not a feature. That's the architecture.