How to Safely Paste Proprietary Code Into an AI Assistant
Pasting a stack trace, a config file, or a chunk of a codebase into an AI assistant is routine now — the risk isn’t the AI itself, it’s what’s sitting inside the text you paste. Config files and logs are exactly where API keys, database URLs with embedded passwords, and access tokens tend to live in plain sight.
What actually leaks
The most common accidental leaks aren’t dramatic — they’re a .env file pasted for debugging help, an error log with an Authorization header still attached, or a docker-compose.yml with a real database password left in from local dev. None of these look sensitive at a glance in the middle of 200 lines of otherwise-fine code.
A simple habit
- Before pasting, run the text through a sanitizer that pattern-matches common secret formats (API keys, JWTs, bearer tokens, credential assignments like
password=, emails, IPs). - Review the redaction summary — it tells you what kind of thing got caught, so you can sanity-check nothing important (or nothing that should have been caught but wasn’t) slipped through.
- Paste the sanitized version, not the original.
The AI Safeguard sanitizer does exactly this in one toggle, entirely in your browser — nothing you paste into it is ever uploaded anywhere, whether you sanitize it or not.
Frequently asked questions
Is a regex-based sanitizer perfect?
No — it catches known secret formats (AWS/GCP/GitHub/Stripe/Slack keys, JWTs, bearer tokens, private key blocks, emails, credit cards) but a completely custom internal token format won’t match unless you add a pattern for it.
Should I still review before pasting?
Yes — treat sanitization as a safety net that catches the common cases, not a substitute for a quick read-through of anything you’re about to share.
Does turning on AI Safeguard change my code’s structure?
No, only matched secrets are replaced with a [REDACTED_...] placeholder; everything else in the text is untouched.