How much crypto fraud did Binance say it prevented with AI?

Binance said its AI-powered security systems prevented more than $10.53 billion in user losses between 2025 and March 2026. The company said over 5.4 million users were protected during that period.

Why is Binance using artificial intelligence for crypto security?

Binance said scammers are increasingly using AI tools to create more advanced phishing attacks, impersonation scams and deepfakes. The exchange believes AI-based defence systems are now necessary to detect fraud patterns at scale and in real time.

What types of scams is Binance trying to stop with AI?

The exchange said its systems target phishing attempts, fake payment screenshots, synthetic identities, deepfake impersonations and suspicious wallet activity. Binance also uses real-time language analysis to identify scam behaviour across communications.

How many scam attempts did Binance block recently?

Binance reported intercepting 22.9 million scam and phishing attempts during the first quarter of 2026 alone. The company estimated those interventions prevented about $1.98 billion in potential user losses.

What are deepfake scams in crypto?

Deepfake scams use AI-generated voices, videos or images to impersonate trusted individuals or organisations. Crypto scammers increasingly use these tools to trick users into transferring funds or revealing sensitive information.

How much of Binance’s fraud detection is now AI-powered?

Binance said AI-driven systems now manage roughly 57% of its fraud controls. The company added that those systems helped reduce card fraud rates by 60% to 70% compared with broader industry benchmarks.

Why are AI-powered crypto scams becoming more dangerous?

AI tools make it easier and cheaper for scammers to create convincing fake websites, messages and identities at scale. Binance warned that attacks which once required technical expertise can now be automated rapidly using artificial intelligence.

What are malicious wallet addresses in crypto?

Malicious wallet addresses are blockchain accounts linked to scams, fraud, phishing or stolen funds. Binance said it blacklisted around 36,000 suspicious addresses through its monitoring systems.

Binance says AI blocked $10B in crypto fraud

Written by Jon CuthbertPublished May. 12 2026Last Updated May. 12 2026

Binance said its artificial intelligence-driven security systems helped prevent more than $10.53 billion in user losses tied to scams and fraud between 2025 and March 2026.

The exchange said more than 5.4 million users were protected during the period through over 24 AI-focused security initiatives and more than 100 machine learning models integrated into its fraud prevention systems.

“AI-powered scams and exploits are accelerating,”

Binance said, adding:

“The barrier to entry for scam perpetrators is falling fast, with AI accelerating the drop.”

The company reported intercepting 22.9 million scam and phishing attempts during the first quarter of 2026 alone, preventing an estimated $1.98 billion in potential user losses.

Binance also said it blacklisted approximately 36,000 malicious wallet addresses through AI-enhanced monitoring systems designed to identify fraudulent behaviour and suspicious blockchain activity.

The exchange has deployed AI tools including computer vision systems to detect fake payment screenshots, real-time language analysis to identify scam patterns and enhanced identity verification tools aimed at stopping deepfakes and synthetic identity fraud.

Binance said AI-powered decision systems now handle roughly 57% of its fraud controls and have contributed to a 60% to 70% reduction in card fraud rates compared with broader industry benchmarks.