Binance Reveals AI Anti-Fraud Achievements: Prevented Over $10.5 Billion in Losses, Intercepted 22.9 Million Fraud Attacks

BlockBeats News, May 11th, Binance released its latest security report stating that as AI-driven scams rapidly evolve, the platform has deployed over 24 AI security initiatives and more than 100 AI models to combat intelligent fraud. From early 2025 to Q1 2026, Binance has collectively prevented approximately $105.3 billion in potential losses for over 5.4 million users.

The report indicates that in Q1 2026 alone, Binance intercepted about 22.9 million scams and phishing attacks, safeguarding user funds of around $19.8 billion, and issuing over 9,600 real-time risk warnings daily. Furthermore, the platform has blacklisted over 36,000 malicious addresses.

Binance stated that currently AI is widely used in deepfakes, voice cloning, phishing bots, and identity theft social engineering attacks. The data shows that cryptocurrency-related scams reached about $17 billion in 2025, a year-on-year increase of around 30%.

On the defense front, Binance noted that its AI risk control system now accounts for about 57% of fraud detection work and has lowered the credit card fraud rate to 60%-70% below the industry average. Its KYC system has also been upgraded to tackle AI deepfake identity attacks, with operational efficiency improved up to 100 times compared to traditional manual reviews.

Binance also revealed that its AI Agent product, 'Binance AI Pro,' adopts an isolated account structure, where AI agents are only allowed for trading, cannot withdraw, and undergo security reviews of third-party AI plugins, with around 12% of third-party plugins intercepted due to potential risks.

In addition to preventive measures, Binance stated that in 2025, it assisted in recovering approximately $12.8 million in funds, involving around 48,000 cases, and aided global law enforcement agencies in freezing about $131 million in illicit funds.