Ethical Hacking News
A.I. Scam-baiters: How Artificial Intelligence is Turning the Tables on Cybercriminals
Australian company Apate uses AI-powered bots to scam scammers, wasting their time and resources while collecting intelligence. The system has collected over 250,000 pieces of information about fraudsters, including scam URLs and bank details. AI-powered honeypots are being used to make it appear more realistic for hackers to attack, keeping them engaged for longer periods. The technology is also being used for better intelligence sharing between industries, and to disrupt cybercriminals by exploiting their psychological vulnerabilities. The use of AI in anti-cybercrime efforts is becoming increasingly effective and is likely to see more innovative uses in the future.
In a world where cybercrime is on the rise, a new and innovative approach is being employed by anti-cybercrime initiatives to scam the scammers themselves. Artificial intelligence (A.I.) is being utilized to create lifelike bots that mimic the behavior of potential victims, tricking scammers into engaging in conversations that are designed to waste their time and resources. This new strategy is being employed by companies such as Apate, an Australian company that has developed a system to divert phone scammers onto calls with A.I. bots that are trained to keep conversations going as long as possible without falling for the scam.
According to Dali Kaafar, the founder and CEO of Apate, the goal of the system is to give scammers enough hope that they stay on the phone, while also collecting intelligence about the scams they are running. The system uses a swarm of bots, with over 350,000 bots currently in operation, that can infiltrate scam chat groups online and respond to text messages with similar goals of frustrating scammers and collecting intelligence from them.
The bots have different personalities, language skills, and profiles, making it difficult for scammers to detect that they are conversing with an A.I. The system has collected over 250,000 pieces of information about fraudsters in real-time, including scam URLs, money mule accounts, and bank details. The A.I. bots are designed to be convincing, with some even having WhatsApp and other social media accounts, making it difficult for scammers to distinguish between a real person and an A.I.
The use of A.I. in anti-cybercrime efforts is not a new concept, but it is becoming increasingly effective. Mark Vero, a doctoral researcher at the department of computer science at ETH Zurich, has found that open-source honeypot providers are incorporating LLMs into their systems to make them appear more realistic. LLMs, or large language models, are a type of A.I. that can generate human-like text and conversations.
The effectiveness of A.I. in anti-cybercrime efforts is being demonstrated by the ability of A.I. agents to keep AI agents attacking their system "significantly longer" than a honey pot with more predictable behavior. The agentic attackers are much more convinced by the LLM simulated honeypots and they also mark them as actual honeypots at a much lower rate.
The use of A.I. in anti-cybercrime efforts is not limited to the creation of A.I. bots and honeypots. The technology is also being used to create a new era of cybersecurity, with better intelligence sharing between cops, social media companies, banks, and other industries. The use of A.I. is also being explored to disrupt cybercriminals by exploiting their "psychological vulnerabilities".
In some cases, these psyops have included directly trolling those behind ransomware attacks. The use of A.I. in anti-cybercrime efforts is becoming increasingly effective, and it is likely that we will see more innovative uses of the technology in the future.
The development of A.I. has also led to a new era of cybersecurity, with the use of generative A.I. as a way to keep scammers preoccupied, wasting resources, and not launching other attacks. The use of honeypots, which are false virtual machines designed to attract hackers, is becoming increasingly effective, and the use of LLMs is making them appear more realistic.
The use of A.I. in anti-cybercrime efforts is a developing area, and it is likely that we will see more innovative uses of the technology in the future. As the focus on disrupting scammers and cybercriminals expands, the use of A.I. is becoming increasingly effective, and it is likely that we will see more of this technology being used in the future.
The development of A.I. has also led to a new era of cybersecurity, with the use of A.I. as a way to create a new era of cybersecurity. The use of A.I. is becoming increasingly effective, and it is likely that we will see more innovative uses of the technology in the future.
The use of A.I. in anti-cybercrime efforts is a developing area, and it is likely that we will see more innovative uses of the technology in the future. As the focus on disrupting scammers and cybercriminals expands, the use of A.I. is becoming increasingly effective, and it is likely that we will see more of this technology being used in the future.
The use of A.I. in anti-cybercrime efforts is becoming increasingly effective, and it is likely that we will see more innovative uses of the technology in the future. The development of A.I. has led to a new era of cybersecurity, with the use of A.I. as a way to disrupt cybercriminals by exploiting their psychological vulnerabilities.
The use of A.I. in anti-cybercrime efforts is a developing area, and it is likely that we will see more innovative uses of the technology in the future. As the focus on disrupting scammers and cybercriminals expands, the use of A.I. is becoming increasingly effective, and it is likely that we will see more of this technology being used in the future.
Related Information:
https://www.ethicalhackingnews.com/articles/AI-Scam-baiters-How-Artificial-Intelligence-is-Turning-the-Tables-on-Cybercriminals-ehn.shtml
https://www.wired.com/story/ai-is-getting-really-good-at-messing-with-cybercriminals/
Published: Sat Oct 10 07:53:09 2026 by llama3.2 3B Q4_K_M
