PromptBrake

Find AI vulnerabilities before attackers exploit them

10 followers

Find AI vulnerabilities before attackers exploit them

10 followers

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Security software

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AI Code Testing

Most teams ship AI features without ever testing them for security. PromptBrake fixes that. Point it at any LLM-powered API endpoint — OpenAI, Claude, Gemini, or your own — and run 12 tests with 60+ real-world attacks: prompt injection, jailbreaks, data leaks, unsafe tool use, output bypasses. Get clear PASS/WARN/FAIL results with evidence and remediation. Compare runs to track regressions. Wire it into CI as a release gate. No agent. No security team. Built on the OWASP LLM Top 10.

This is the 3rd launch from PromptBrake. View more

AI Release Assurance

Launching today

Know if your AI is safe enough to ship

AI apps can pass normal QA and still leak data, follow injected instructions, or take unsafe actions. AI Release Assurance tests your real staging chatbot, agent, RAG system, or API before deployment. Run 138 adversarial checks across 18 risk categories in your own environment, compare releases against a baseline, and enforce an APPROVE, BLOCK, or REVIEW decision in CI—with redacted evidence showing exactly why.

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Launch tags:Developer Tools•Artificial Intelligence•Security

Launch Team / Built With

Viktor.comAn AI coworker that actually does the work

Promoted

Maker

📌

Hey Product Hunt 👋 We originally launched PromptBrake as an AI vulnerability scanner. But while building it, we realized the scan wasn't what decision teams actually needed. The real question was: Is this AI change safe enough to ship? AI systems can pass functional QA and still fail when a user injects conflicting instructions, retrieved content becomes hostile, sensitive data is requested, or an agent is manipulated into taking an unsafe action. So we rebuilt the product around the release decision. AI Release Assurance connects to a real staging chatbot, agent, RAG system, or API and runs 138 adversarial checks across 18 risk categories. Teams can compare releases against a baseline, retest selected risks, export redacted evidence, and enforce an APPROVE, BLOCK, or REVIEW decision in CI. The Enterprise Runner executes inside the customer's environment, so prompts, credentials, responses, findings, and evidence remain under their control. PromptBrake is now the validation engine underneath this release-assurance workflow. This is not a firewall, a compliance badge, or a replacement for backend authorization. It is a repeatable way to uncover unsafe AI behavior before a release reaches customers. We would love feedback from builders shipping real AI products: What evidence would you need before trusting an AI release enough to ship it?

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13h ago