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- Binance said AI tools prevented $10.53B in potential user losses from crypto scams.
- The exchange redlisted 36,000 malicious addresses during the 15-month security review.
- AI-driven controls now power 57% of Binance fraud checks, helping cut card fraud rates.
Binance said its AI-powered security systems helped prevent $10.53 billion in potential user losses from scams and fraud between early 2025 and March 2026. The exchange also said it redlisted 36,000 malicious addresses during the 15-month period.
The crypto exchange shared the figures in a Monday blog post. Binance said more than 5.4 million users were protected between the first quarter of 2025 and the first quarter of 2026.
Binance Uses AI Models to Detect Scam Activity
According to the company, it launched more than 24 AI-driven initiatives and over 100 security models. These systems were designed to detect scam activity, phishing attempts, fake identities, and suspicious payment behavior.
Binance added that AI has also made crypto users more vulnerable. The exchange stated that such frauds, which used to demand technical knowledge, are now easily initiated at a lower cost and larger scale.
The firm stated that attackers have been exploiting AI to enhance social engineering campaigns. These methods include deepfakes, phishing bots, fake platforms, voice cloning, and impersonation across chat applications.
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Crypto scams have been a big issue in the industry. In April, the FBI reported that U.S. citizens had lost $11 billion to crypto scams, including by posing as officials or crypto firms.
Binance Blocks 22.9M Scam Attempts in Q1 2026
During the first quarter of 2026, Binance reports that it blocked 22.9 million scam and phishing attempts. Those actions saved $1.98 billion in user funds in that quarter, the exchange said.
In addition, Binance outlined several fraud detection tools for its update. Computer vision is employed to recognize false payment receipts, and real-time language analysis is used to detect scam patterns.
The exchange also indicated that AI is utilized for identity verification. This helps prevent deepfakes and synthetic identities employed by fraud networks.
AI-powered decisioning now accounts for 57% of Binance’s fraud controls, according to the company. The company said this resulted in a 60-70% drop in card fraud rates relative to the industry.
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