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Ship AI features without shipping vulnerabilities. PromptBrake is a pre-release security testing platform for LLM-powered APIs โ point it at your endpoint and run repeatable scans for prompt injection, data leaks, unsafe tool use, and output bypasses, mapped to the OWASP LLM Top 10.
Each finding includes evidence logs and remediation guidance, so you know exactly what to fix. Compare runs to catch regressions, and plug the same checks into CI to gate risky releases.
Works with OpenAI, Claude, Gemini, and custom LLM-backed endpoints. Also includes free tools such as an LLM security checklist, a prompt injection payload generator, and an OWASP LLM test case mapper to help teams validate their setup early.
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PromptBrake's answer
Choose PromptBrake when you want a security check, not a security project. Open-source tools like Promptfoo and Garak are powerful, but expect you to design your own test suite, write probes, and interpret raw output โ that's a week of setup before your first useful result. Manual AI pentests deliver depth but cost $5,000โ$20,000 per audit and run at best quarterly. PromptBrake fits the gap: an opinionated, repeatable suite you can run before every release, with results your engineers can act on without a security background. If your team ships AI features faster than a security calendar can keep up, that's the workflow PromptBrake is built for.
PromptBrake's answer
Backend: Python with Flask, SQLAlchemy, Flask-Migrate (Alembic), and Gunicorn. Database: SQLite. Auth and identity: Firebase Authentication. Payments: Stripe. Frontend: server-rendered Jinja2 templates with vanilla JavaScript and CSS โ no SPA framework. Infrastructure: AWS (EC2), with Cloudflare in front for WAF and CDN.
PromptBrake's answer
PromptBrake is the only LLM API security scanner built as a product, not a framework. While open-source tools like Promptfoo and Garak give you a flexible harness for building your own red-team workflow, PromptBrake gives you an opinionated 12-test suite (60+ real-world attack scenarios, OWASP LLM Top 10-aligned) that runs against your endpoint with zero configuration. Every finding comes with PASS/WARN/FAIL verdicts, evidence logs, and concrete remediation steps โ so engineers know exactly what broke and how to fix it. Compare any two runs to track regressions and fixes between releases, and drop the same scans into CI as a release gate. Works with OpenAI, Claude, Gemini, and custom LLM-backed endpoints. No security team, no harness setup, no agent install โ point it at your endpoint and ship with confidence.
PromptBrake's answer
Engineering teams shipping LLM-powered APIs who are accountable for security but don't have a dedicated security team. That includes startup engineers wiring an AI feature into production, platform teams adding LLM endpoints to existing apps, and solo builders who need a credible security check before launch. The common thread: they own an AI endpoint, they're shipping fast, and they need a repeatable answer to "is this safe to release?" without hiring a pentester or building a red-team harness from scratch.
PromptBrake's answer
If you've shipped an LLM-powered API, you've probably had this moment: someone asks, "Is it secure?" and you don't know where to start. OWASP publishes a Top 10 for LLMs. Headlines warn about prompt injection, jailbreaks, data leaks, and tool abuse. Blog posts disagree on what to test and how to test it. Open-source frameworks hand you a toolkit and assume you already know what to do with it. Manual pentests cost probably $5,000 to $20,000 and take weeks to schedule. Most engineers shipping AI features aren't security researchers โ they need a credible answer before the next release goes out. That's the gap PromptBrake was built for. One opinionated suite. Twelve tests covering what actually matters. PASS/WARN/FAIL results with evidence and remediation in plain language. Point it at your endpoint, see what's broken, fix it, ship. Security testing shouldn't require becoming a security expert first.
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