The figure reflects the growing sophistication of the threats facing exchanges and users.
Binance Research warned that AI is “twice as effective” at exploiting vulnerabilities.
Binance assured this May 11 that its security tools powered by artificial intelligence allowed it to avoid potential losses of USD 10.53 billion between the first quarter of 2025 and the second quarter of 2026, for the benefit of millions of users affected by cryptocurrency fraud attempts.
According to the publicationthe platform indicated that it has developed nearly 24 AI-based protection features to strengthen the detection of scams and suspicious activities within its ecosystem.
The company explained that it uses artificial vision to identify manipulated payment receipts and real-time linguistic analysis systems to detect fraudulent patterns in P2P operations. Furthermore, he pointed out that 57% of your anti-fraud controls already work with AI modelswhich would have reduced cases of card fraud by between 60% and 70% compared to usual levels in the sector.
Binance also stated that its KYC verification systems have evolved to combat synthetic identities and deepfakes, achieving operational improvements up to 100 times greater than traditional manual processesnot only with AI but through tools, such as the recent launch of Withdraw Protectiona new security feature that allows cryptocurrency withdrawals to be blocked for a configurable period of between 1 and 7 days, as explained by Criptonoticias.
However, Binance Research has warned in the past that artificial intelligence “is currently twice as effective at exploiting vulnerabilities as detecting them” and that AI-powered scams can be up to 4.5 times more profitable than traditional ones.
The use of artificial intelligence has intensified so much in the ecosystem, where more and more companies are implementing this type of technology, especially to reinforce the security of processes.
However, AI is also used among cybercriminals, who use it to develop more complex frauds and advanced malware, such as the recent discovery by Google, which claimed to have detected the first documented case of a zero-day vulnerability (or zero-day exploit) developed with the help of artificial intelligence, a finding that could mark a turning point in the evolution of cyber threats.