AI agents holding money might be one of the easiest things to trick in crypto right now. The scary part is that it doesn't always take a wallet exploit or some complicated smart contract attack. Sometimes, all it takes is getting an AI to read an instruction and mistake it for something it should actually follow. The example @GenLayer talks about is a good one. Someone hid a transfer instruction inside Morse code in a tweet. Grok translated it, passed the instruction to Bankrbot, and the agent ended up moving around $200,000. The scary part isn't even the Morse code. It was the fact that there was basically one door to get through. One model. One filter. One set of defenses. An attacker can study that system, test different inputs, and keep trying until they find something that gets through. That's what makes prompt injection dangerous. If an AI can read tweets, emails or webpages and also control a wallet, something hidden inside that content can become much more than just text. Greyboxing changes the setup. On GenLayer, the input gets rewritten before any AI model sees it. Every validator has its own way of screening, paraphrasing and restructuring the input, with defenses that aren't exposed to the attacker. So there isn't one model to study for months. There isn't one filter to keep testing until it breaks. Even if one validator gets fooled, the other validators can disagree and outvote it. That's the part that matters. The goal isn't to build one perfect AI that can never be tricked. It's to make the entire system harder to rehearse an attack against. The Morse attack worked because there was one door worth studying. Greyboxing gives you multiple doors, different locks and no blueprint for any of them. For an AI agent that can actually move your money, that's a much better security model.