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 — that's a week of setup before your first useful result. Manual AI pentests deliver depth but cost $5,000–$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 — 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 — 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 — 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 — 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.