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Australian firm Apate uses AI bots to waste scammers’ time and gather intel

Apate, an Australian company, has for two years built an AI-driven system to disrupt phone scammers by deploying bots that mimic real victims. The platform, used by banks and telecoms, currently runs 350,000 bots that answer calls, infiltrate scam chat groups, and respond to texts. These bots collect over 250,000 pieces of fraudster intelligence—including scam URLs, money mule accounts, and bank…

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Key points

  • Apate’s AI bots waste scammers’ time by mimicking real victims, delaying attacks on actual people
  • 350,000 bots collect 250,000+ data points on fraudsters, including scam URLs and bank details
  • ETH Zurich research shows LLM-powered honeypots keep attackers engaged significantly longer

The bots use varied personalities, language skills, and profiles to avoid detection. Testing by Wired found the system convincing, with scammers unable to trick the AI into investing in fake schemes even after six minutes. While AI-powered honeypots and scambaiting have existed for years, Apate’s approach scales massively, leveraging automation to counter the billions of scam messages and calls sent annually. Researchers at ETH Zurich confirm that LLM-powered honeypots keep attackers engaged longer, making them harder to distinguish from real systems.

Read the original at Wired AI · by Lily Hay Newman, Matt BurgessOpen source ↗
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ApateETH ZurichWiredDali KaafarMark Vero

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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