What surprised me most about this wave of AI hacking news in Taiwan wasn’t the word “hacker,” but the fact that 12 agents teamed up, with roles divided as precisely as a makeshift project team: some handled asset reconnaissance and public-facing interfaces, some specialized in writing phishing messages, some worked on privilege escalation, some handled lateral movement, and others packaged up data for exfiltration and cleaned up traces. They even handed off results to one another, coordinating better than I do at work. I heard they even dared to target emergency dispatch records. This wasn’t just ordinary credential stuffing and account theft—emergency dispatch records usually contain fields such as addresses, descriptions of medical conditions, priority levels, dispatch times, and contact information. If those records are altered or leaked, the consequences could range from exposed personal information to misjudgments about dispatching and resource allocation. For example, if an address field is changed to the wrong one, dispatchers might have to make several extra calls to confirm it; if someone maliciously changes the priority level, the consequences are even harder to imagine.

From the reporting, this operation seems highly customized. They weren’t just running a generic script to scan everything in sight; they could adapt their approach to the target system’s fields, permissions, and business workflows. Even the L3 application chain would have to call them “master.” Put simply, it was like taking custom orders: first recon, then breaking the work into tasks, and finally assigning agents to handle each part and tie things up. Each of the 12 agents did one part. None of the individual steps seemed outrageous on its own, but together they became a real problem. It also got me thinking about stop-losses in trading. The last time I set mine too tight, thinking I’d lose less, I got stopped out twice: once by normal volatility, and once just before the price bounced back. My mindset completely fell apart. I’ve learned my lesson now—give it more room, at least so I don’t get taken out by my own side. That’s not to say you shouldn’t manage risk; just don’t put your stop-loss somewhere noise can hit it too easily. Give your strategy room to breathe first, then think about execution. AI hackers rely on coordination, and trading needs a system too: position sizing, stop-losses, and review each have their role. Don’t let one stop-loss that’s set too tight take down the whole plan. What do you think?