You wouldn't want your firewall to have opinions; guardrails shouldn't either, so ours runs deterministic, CPU-native detection instead of a second LLM. We're an AI cybersecurity company defending AI systems at their most exposed point: the input. Tawa Guard is a pre-inference drop-in filtering layer that screens every input before it reaches your model, returning a structured assessment payload. Your policy layer decides what happens next: pass, review, escalate, or block. Your models trust every input. We don't. One drop-in layer. Every input scored, every decision logged, every model covered. https://www.youtube.com/watch?v=yR6p7nnrtUc