Secrets Management for AI Coding Assistants
Cursor. Claude Code. Windsurf. Bolt. Your AI tools are fast — but every time you paste an API key, you're creating a security liability.
The 2025 Research
Security researchers at Escape.tech scanned 5,600 publicly deployed applications built with AI coding tools in 2025. They found:
- •400+ exposed secrets — API keys, tokens, credentials in plain text
- •2,000+ security vulnerabilities — including SQLi, XSS, and broken auth
- •Only 10.5% of AI-generated code is secure — despite being functionally correct
The workflow that's exposing you
You're building a payment integration in Cursor. The AI generates a Stripe webhook handler.
The AI asks for your Stripe secret key to test the integration. You paste sk_live_... into the chat.
That key is now in Cursor's conversation history. It's been transmitted to external servers. If Cursor uses third-party models (they do), your key has been processed by infrastructure you don't control.
You have no audit trail. No way to delete the key from those logs. No way to know if it will appear in future model outputs or training data.
The 3-minute fix
Store your secrets in Kevorax. Fetch them at runtime. The only thing you ever paste into your AI tool is your project token — which isn't sensitive enough to cause damage even if exposed.
const stripe = new Stripe('sk_live_xxxxx');Key in your code, your prompts, your git history
const key = await fetchSecret('STRIPE_KEY');Key fetched at runtime, never in your prompts
Works with every AI coding tool
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