Binance, the global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users, announced that its AI-assisted security systems helped protect more than 8 million users and prevent approximately $4.6 billion (₹38,640 crore) in potential losses during the first half of 2026.
Powered by over 100 AI models, the systems identify suspicious activity in real time, intercept scam and phishing attempts, blacklist malicious addresses and issue more than 14,000 real-time warnings daily. The models handle 80%–90% of real-time risk decisions, with human reviewers assessing cases requiring closer attention.
“These numbers represent real people whose savings were protected and families who avoided financial devastation,” said SB Seker, Head of APAC, Binance. “Each prevented loss matters, especially in emerging markets like India where crypto represents a significant portion of many families’ savings.”
Binance also employs an eight-layer account protection system covering suspicious activity alerts, OTP verification, device and location checks, passkeys, facial recognition, forced logouts, individual withdrawal rejections and temporary withdrawal blocks for high-risk situations.
The company’s Secure Asset Fund for Users (SAFU), established in July 2018, serves as an emergency reserve for extreme security incidents and holds approximately $1 billion (₹8,400 crore).
Alongside technological safeguards, Binance provides free security education through its security blog series, scam prevention guides and Binance Academy courses.
“Users are the last line of defense,” Seker explained. “No system can make every decision for you. Our goal is to provide knowledge so users can make informed choices with confidence.”
Binance encourages users to enable available security features, avoid suspicious links and never share passwords or verification codes.
