AI Scammers Trapped: 200,000 Fake Victims Deployed

I’ll admit it – when I first heard about Apate’s idea of luring scammers with 200,000 artificial identities, I had to chuckle. Not because it was absurd, but because it’s so quintessentially human: we build an army of imaginary victims to catch real criminals. Almost like distracting a thief with a mannequin that suddenly shouts, “Freeze, police!” except everything here is digital and packed with even more code.
US-based company Apate has come up with something genuinely clever. Imagine scrolling through LinkedIn or Facebook when suddenly “Sarah” messages you – a young marketing assistant from Chicago with an attractive profile picture, a plausible backstory, and a few mutual connections. Only “Sarah” isn’t a real person. She’s an AI designed to ensnare scammers, and she’s so convincing that even seasoned con artists start second-guessing their approach.
How does it work? Simple: the AI victims behave like naive users who fall for contact requests or phishing messages. They willingly share personal information, engage in conversation, and log every interaction. The most brilliant twist? Apate even measures how furious the scammers get. Yes, you read that right. One key performance indicator is the number of expletives (“F-bombs”) thrown by scammers when the AI refuses to quit. The more rage, the better the trap works – and the more time and energy scammers waste.
Why is this necessary? Because the fraud market is exploding.
According to the FBI, cybercriminals swindled over $4.8 billion from victims in the US alone in 2022. “Romance scams,” where victims lose both their hearts and their savings via dating apps, are among the most insidious schemes. The perpetrators often operate from abroad, using VPNs, fake profiles, and manipulative chatbots – and standard platform bans aren’t enough to dismantle these organized networks.
This is where Apate steps in. Instead of



waiting passively for reports, they take a proactive approach: provoking scammers, analyzing their tactics, and providing law enforcement with actionable data. In collaboration with authorities, they’ve already seen early successes, such as dismantling “pig butchering” scams, where victims are tricked out of their life savings via social media or dating platforms.
But is it ethically justifiable?
Critics accuse Apate of running a “sting operation” (entrapment) – essentially manufacturing a crime through deliberate provocation. The company counters that the scammers initiate contact on their own; the AI merely responds to their advances. Moreover, the collected data—IP addresses, speech patterns, and communication trails—is handed over to investigators.
Privacy concerns are inevitable. But let’s be honest: if a scammer hides their identity to steal from others, should they really expect their data to remain sacred?
The future: Even more realistic, even more effective
Apate is already working on the next generation. Soon, AI victims won’t just respond to text; they’ll engage in voice and video scams. And eventually, messaging platforms like WhatsApp or Telegram could be integrated – making life truly uncomfortable for scammers.
A double-edged sword – but necessary
Using AI as a weapon against crime is a dilemma. On one hand, it offers an innovative solution to expose fraudsters and dismantle their networks. On the other, it raises questions: where does provocation end? Where does manipulation begin? But as long as online fraud continues to surge, we need such solutions. One thing is certain: the criminals won’t stop—so we must get more creative.
And perhaps, just perhaps, Apate’s approach is the first step toward a future where we don’t just catch scammers, but show them they have no chance against an army of imaginary victims. Even if those victims are made of code.