Probe & Patch
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

SafeBox AI helps teams choose and evaluate AI models before using them in real applications. It connects with both local and cloud providers, discovers available models, and recommends suitable options based on practical requirements such as privacy, budget, performance, hardware and expected usage. The platform then tests the selected model for risks including prompt injection, secret disclosure and system-instruction leakage. It also independently checks whether the testing environment is properly isolated. Instead of giving a vague “safe” score, SafeBox AI provides clear results, supporting evidence and separate verdicts for model behaviour and infrastructure security—helping teams make more informed and responsible deployment decisions.