The crypto space hasn’t fully realized this yet: the security model in the AI era has quietly changed. The implicit assumption behind our past security decisions was this—attackers are a scarce resource. A high-level hacker’s time is valuable, so they target big fish. Small wallets and small contracts aren’t worth their time or attention. This assumption has fueled the past decade’s false sense of security: 'I’m not a big player, so I should be fine.' That assumption is now broken. An agent’s time cost is close to zero. It doesn’t sleep, doesn’t get frustrated, and won’t lose patience after reviewing 200 repositories in a day. It can simultaneously monitor hundreds of thousands of wallet addresses, scan thousands of contracts, track every commit in hundreds of GitHub repositories, and compare every line of 'open-source' code against the live version to spot discrepancies. Attackers have shifted from being 'scarce humans' to 'infinite computing power.' This changes two things. First, the economics of attacks have flipped. In the past, small targets were safe because they weren’t worth the effort. Now, small targets are just as risky because it costs nothing to look at them. Stealing $5000 and stealing $5 million is the same line of code for an agent. Second, 'niche = safe' is completely invalid now. Previously, using an obscure wallet or an unknown protocol acted as a camouflage because no hacker wanted to spend time researching it. Now, an agent can scan all niche wallets in a single night, and the less-audited the code, the more it becomes a prime target. The moat for security has shifted from 'Am I worth attacking?' to 'Can my code withstand a tireless agent scrutinizing it for a week?'