Dr. Chen—not his real name, obviously—spent five hours locked inside his clinic office, convinced he was helping government officials investigate money laundering. He was actually just following orders from scammers. He clicked transfer for half a million dollars, the kind of money that takes a lifetime to save, and then… well, the money didn’t actually leave.
Misryoum reports that less than a minute after he clicked, DBS’s backend systems triggered a massive red flag. The air in the bank’s anti-scam unit must have been tense, probably buzzing with the hum of monitors, while analyst Chloe Lim saw the alert. She couldn’t get ahold of the doctor himself—he was likely still on the line with the ‘officials’—but she got his wife. It was a close call, but they managed to freeze the funds just in time.
It’s a mix of cold machine logic and hot human panic. The bank uses artificial intelligence to scan transactions in real-time, looking for patterns that look human, or sometimes, inhumanly fast. But as the scammers get smarter—they’re basically master manipulators now—just having a clever algorithm isn’t enough anymore. They’ve started introducing ‘helpful friction.’ That’s just a fancy term for making you slow down. They want you to pause, maybe grab a coffee, or just breathe for a second when a transaction looks risky.
“Transactions continue to be processed normally with no noticeable delays,” claims Precious Riola from the bank’s fraud detection team. It’s a delicate dance. You don’t want to annoy legitimate customers with too many security pop-ups, but you also don’t want to let a retiree empty their account because they’re scared. Actually, it’s about that tiered intervention, where the system decides if you get a gentle nudge or a full-on temporary hold for 24 hours. That 24-hour window, which aligns with the new Monetary Authority of Singapore guidelines, is essentially a cooling-off period meant to stop the bleeding.
But here is the thing: technology is great at spotting that a transfer is weird, but it isn’t so great at comforting a panicked human. That’s where people like Ms. Lim come in. Alan Teng, who runs the team, says it perfectly: technology finds the pattern, but the human breaks the spell. Scammers isolate you, making you feel like the world is against you, or that you’re under investigation.
When someone from the bank finally calls, it breaks that isolation. It’s not just about the code; it’s about the voice on the other end of the line—the empathy, the slightly awkward, calm questioning that forces a victim to snap out of the scammer’s influence. It’s messy work, dealing with people who have been coerced, but ending the day knowing someone didn’t lose their family business is, well, it’s what makes the job real. The systems do the heavy lifting, but the humans keep it from becoming just another number on a screen.