Binance has released a comprehensive security report covering the period from Q1 2025 to Q1 2026, revealing that its AI-driven systems blocked $10.53 billion in fraud and shielded 5.4 million users from financial harm. The exchange deployed more than 24 AI initiatives and over 100 machine learning models across its platform.
AI & ML Arsenal: 24 Initiatives and 100+ Models
To counter rapidly evolving fraud tactics, Binance implemented a multi-layered security stack. Computer vision tools detect fake payment proofs, while language analysis models identify phishing patterns in real time. AI decision systems now handle 57% of fraud controls, reducing card fraud by up to 70%. KYC deepfake detection efficiency has improved up to 100x compared to manual review processes.
Real-Time Defense: 9,600 Daily Warnings, 36,000+ Blacklisted Addresses
Binance's system issues over 9,600 real-time warnings every day and has blacklisted more than 36,000 malicious addresses. In Q1 2026 alone, it intercepted 22.9 million scam attempts and safeguarded nearly $1.98 billion in funds. The Binance AI Pro feature isolates trading agents from user accounts to prevent unauthorized fund movements, and third-party integrations are screened with about 12% flagged as potentially risky.
Recovery & Enforcement: $12.8M Reclaimed, $131M Confiscated in 2025
During 2025, Binance helped users reclaim $12.8 million across 48,000 cases through coordinated enforcement actions. Additionally, the exchange assisted authorities in confiscating $131 million via over 71,000 legal requests processed globally. These figures underscore the effectiveness of AI-powered security in both proactive blocking and post-incident recovery.