Built PromptBrake: AI API security testing for teams shipping LLM features (waitlist open)

Howdy IH,

I’m building PromptBrake (https://promptbrake.com), an AI API security testing product for teams at any stage, from founders and security leaders to engineers shipping production systems.

Waitlist: https://promptbrake.com/waitlist

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 (no CI/CD automation yet)
• No scheduled scans/alerts yet

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.