Binance Blog published a new article, revealing how its layered security framework helped protect users in the first half of 2026. The company said its AI-assisted risk systems protected more than 8 million users and prevented approximately $4.6 billion in potential losses during H1 2026. According to the article, Binance uses a real-time security approach built around multiple layers, including automated threat detection, account-level safeguards, user education, and an emergency reserve for extreme cases. The systems are designed to alert, verify, and intervene based on risk so that account protection remains strong without disrupting the user experience. Binance said more than 100 AI models support its anti-fraud and anti-scam controls, allowing the platform to check activity in real time and flag threats before they reach users. In H1 2026, these systems intercepted millions of scam and phishing attempts, blacklisted more than 42,000 malicious addresses, and issued over 14,000 real-time warnings every day. The company added that these models now make 80% to 90% of real-time risk decisions, while human reviewers handle cases that require closer judgment.

Binance also outlined its 8-level account protection system, which is built on a real-time risk detection engine. The first layer uses multi-channel notifications through email and in-app messages when suspicious activity is detected. The second layer requires OTP verification for sensitive actions, adding a time-sensitive password beyond login credentials. The third layer, roaming verification, adds checks when logins or actions come from a new device, location, or unusual IP address. The fourth layer uses passkey authentication through Face ID or Touch ID, which Binance said is highly resistant to phishing and password theft. The fifth layer requires facial recognition for higher-risk actions. The sixth layer allows forced logouts if account takeover is suspected, ending all active sessions so the user can reset the password and secure the account. The seventh layer can reject a suspicious withdrawal individually, while the eighth layer can temporarily block withdrawals at the highest risk level until security checks are completed and the account owner confirms the action. Binance said these measures are meant to keep the platform secure while maintaining a smooth experience.

The article also highlighted the Secure Asset Fund for Users, or SAFU, which Binance set up in July 2018 as an emergency reserve. As of 2026, the fund holds approximately $1 billion and is kept separate from operational accounts. Binance said SAFU is intended to protect user assets in extreme cases such as security breaches or platform-level incidents, and may be used to compensate affected users if a security incident causes losses. The company also emphasized scam education as the last line of defense, noting that users still decide whether to click links, share verification codes, or approve transactions. To support that effort, Binance said its security blog series has published 10 deep dives since the start of 2026, alongside a consolidated guide and a free Binance Academy course on managing risk. The article concluded that real-time AI detection, account protection, education, and SAFU work together to keep users safe, while reminding users to stay informed and keep security settings updated.