Binance says its AI-powered security systems have helped prevent large-scale crypto fraud losses since 2025. The exchange reports that its defenses thwart about $10.5 billion in potential user losses, citing figures of approximately $10.53 billion and describing the effort as spanning from 2025 onward. Binance also says it has blacklisted 36,000 malicious addresses as part of its fraud mitigation and claims that AI now powers more than half of its fraud controls. In a related account, Decrypt reports that Binance has deployed more than 100 AI models to counter a rise in AI-enabled scams. Both sources frame Binance’s approach as using multiple AI models and automated controls to identify suspicious activity, block malicious actors, and reduce losses for users. Binance’s announcements do not provide independent verification or detailed methodology for the loss prevention estimate, but they consistently describe scale—both in the number of AI models and the value of blocked potential losses—and point to address blacklisting as a concrete action tied to its security operations.