Built PromptBrake: AI APIsecurity testing for teamsshipping LLM features (live now)

Howdy,

I’m building PromptBrake, an AI API security testing product for teams at any stage, from founders and security leaders to engineers shipping production systems.

PromptBrake is now live and ready to use: https://promptbrake.com

What it does today:

• Tests AI API endpoints with a fixed library of real attack patterns
• Covers prompt injection, indirect injection, data leakage, tool misuse, and safety bypass behavior
• Returns pass/warn/fail results with evidence and remediation context

How teams use it:

• Pre-release: catch issues before launch
• Post-release: re-test after model, prompt, tool, or config changes

Current scope (MVP):

• Endpoint-focused security testing
• Manual runs
• We’re actively hardening and maintaining reliability

Why I built it:

I kept seeing teams ship AI features fast, but security checks were inconsistent, hard to repeat, or too heavy for day-to-day engineering workflows.

Would value blunt feedback:

• Which failure modes are most painful in your environment?
• What’s the minimum needed for this to fit your release/security process?
• What would block you from trying it first?

Thanks.