The last 48 hours have been a wake-up call for the entire tech industry. We’ve seen developments and security concerns that, just a few years ago, would have dominated global headlines for days. Vulnerabilities, weaknesses, and potential attack surfaces that many people never imagined could be exposed at this scale. And I can’t help wondering: what happens when AI makes uncovering these flaws dramatically easier? For decades, we’ve built financial infrastructure, banking systems, payment networks, and critical services on millions of lines of code. We’ve trusted them because they were built by the best engineers, backed by the biggest institutions, and protected by sophisticated security teams. But what if we've been overestimating how secure these systems really are? AI is changing the economics of discovering software weaknesses. Things that once required enormous amounts of time, expertise, and resources may become significantly easier to identify. And the implications go far beyond software development. Financial institutions, in particular, need to take this seriously. The next major crisis might not come from some entirely new form of attack. It could come from vulnerabilities that have existed for years but were simply never discovered. The uncomfortable truth is that the code protecting billions of dollars may not be as robust as we assumed. And if the last 48 hours are any indication of how quickly this landscape is changing, we should be asking some difficult questions about the security of the systems we depend on every day. The real test isn't whether AI can find the cracks. It's whether we can fix them before someone else does.