This article discusses scam incidents in Telegram driven by the use of AI to deceive cryptocurrency holders.
AI-driven Scams in Telegram
Slow Mist's founder Yu Xian reported on ChainCatcher about three theft incidents involving AI-driven scams on Telegram. Hackers compromised familiar accounts and simulated voice messages to deceive victims.
Threat Analysis and Need for Protection
These incidents underscore growing security challenges as AI tools advance, necessitating more robust verification mechanisms. The rise in Telegram scams calls for enhanced user awareness and protective measures.
Expert Recommendations for Security Improvement
According to CoinMarketCap data, enhanced verification processes could have preemptively curtailed 20% of Telegram-based fraud activities in previous years. The Coincu research team suggests advancements in AI could revolutionize security practices or challenge the establishment of reliable frameworks for protection.
Given the rapid increase in AI-driven scams, it is essential to develop new defensive strategies to ensure the safety of cryptocurrency users.
