Business News | Binance's AI-Powered Security Systems Prevent $4.6 Billion in Crypto Losses, Protect 8 Million Users in First Half of 2026

Binance revealed that its AI-assisted security systems protected more than 8 million users and prevented approximately $4.6 billion in potential losses during the first half of 2026, demonstrating how advanced technology is combating crypto-related fraud and scams in real-time.

As digital asset adoption grows, concerns about cryptocurrency security remain a key barrier for many potential investors. Binance's latest security data highlights how artificial intelligence and multi-layered protection systems are addressing these concerns in real-time.

How security systems stopped billions in losses

Binance's AI-assisted risk systems check activity in real time and flag threats before they reach users, powered by more than 100 AI models working across anti-fraud and anti-scam controls. 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.

These models now make 80% to 90% of real-time risk decisions, with human reviewers stepping in on the cases that need closer judgment. Together, these measures protected more than 8 million users globally and prevented approximately $4.6 billion in potential losses worldwide.

“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 where crypto represents a significant portion of many families' savings.”

Binance account protection levels

Binance employs an eight layered system built on a real-time risk detection engine, designed to keep the crypto experience smooth and secure across the platform.

• Multi-channel notifications: When suspicious activity is detected, Binance alerts users via email and in-app messages.
• OTP verification: Sensitive actions require a unique, time-sensitive one-time password, so login details alone aren't enough for an attacker to proceed.
• Roaming verification: Logins or actions from a new device, location, or unusual IP address trigger additional verification.
• Passkey authentication: Binance supports passkeys, a device-bound cryptographic login method that is highly resistant to phishing and password theft.
• Facial recognition: For higher-risk actions, facial recognition is required.
• Forced logouts: If account takeover is suspected, Binance can force a hard reset, logging out all active sessions across devices so users can reset their password and secure the account.
• Single withdrawal rejection: A suspicious withdrawal can be blocked individually. Users are notified, and can retry after additional verification if it was them.
• Withdrawal function block: At the highest risk level, withdrawals may be temporarily paused as a final safeguard. Withdrawals resume only after security checks and confirmation from the account owner.

This layered approach ensures legitimate users experience smooth transactions while potential threats face multiple barriers.

Emergency protection and user education

The Secure Asset Fund for Users is an emergency reserve that Binance set up in July 2018. SAFU funds protect user assets in extreme cases, such as security breaches or platform-level incidents. As of 2026, the fund holds approximately $1 billion.

SAFU is a safety net for when other protections fall short, kept separate from operational accounts. If a security incident causes users to lose funds, Binance may use SAFU assets to compensate affected users.

Binance's systems can stop millions of threats, and SAFU funds are in place for extreme cases. But no system can make every decision for users. Users decide whether to click a link, share a verification code, or approve a transaction. That makes users the last line of defense. That's why Binance focuses on giving users the knowledge to make that call with confidence.

“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.”