Binance uses AI to reliably stop the rise in large-scale fraud

Binance assured on May 11th of this year that its artificial intelligence-powered security tools have prevented potential losses of US$10.53 billion from Q1 2025 to Q2 2026 for the benefit of millions of users who have fallen victim to crypto fraud.

The publication indicates that the platform has developed nearly two dozen AI-based protections to enhance the detection of fraud and suspicious activity within its ecosystem.

The company explained that it uses artificial vision to identify falsified payment receipts and a real-time linguistic analysis system to detect fraudulent patterns in P2P operations. Furthermore, he pointed out that 57% of anti-fraud controls are already powered by AI modelsThis should reduce the number of card frauds by 60% to 70% compared to normal levels in this sector.

Binance also announced that its KYC verification system has evolved to combat synthetic IDs and deepfakes. Enables up to 100x operational improvements compared to traditional manual processesAI as well as recently launched Withdrawal protectionas explained by Criptonoticias, is a new security feature that allows you to block cryptocurrency withdrawals for a configurable period of time ranging from 1 to 7 days.

However, Binance Research has previously warned that artificial intelligence is “currently twice as effective at exploiting vulnerabilities than detecting them” and that AI-powered fraud can be up to 4.5 times more profitable than traditional fraud.

The use of artificial intelligence is becoming much stronger in the ecosystem, and more and more companies are adopting this type of technology, especially to enhance the security of their processes.

But AI is also being used by cybercriminals, who are leveraging it to develop more complex scams and advanced malware. For example, a recent discovery by Google claims to have detected the first documented case of a zero-day vulnerability (or zero-day exploit) developed with the help of artificial intelligence, a discovery that could mark a turning point in the evolution of cyber threats.