AI Release Assurance - Know if your AI is safe enough to ship

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?