Just saw Binance's compliance and security report, and I’m pretty surprised by two things: A quarter of their employees are working on compliance-related tasks?! And AI is already so deeply integrated into their risk control processes. Let’s break down these five key points: 1/ Binance is treating compliance as a heavy investment. $300M annually, 25% of employees dedicated to compliance—it’s now a core part of their cost structure. 2/ AI has deeply penetrated the risk control decision-making chain. 24+ AI projects, 100+ AI models, with over 80% of anti-fraud and anti-scam decisions supported by AI. Compliance has shifted from manual review-driven processes to a model, data, and human collaboration-driven approach. 3/ KYC is the biggest battleground. Around 80% of attacks are related to KYC fraud. Deepfakes, synthetic identities, and AI-generated documents are challenging traditional identity verification systems, so Binance is focusing on facial attack detection and liveness detection. 4/ AI’s value is directly quantified in terms of loss prevention and fund recovery. From 2025 to Q1 2026, enhanced detection systems helped prevent approximately $10.53B in potential user losses. In 2025, $114M in funds related to external hacking were recovered or frozen, and by 2026, $60.2M had already been recovered or frozen. 5/ The compliance narrative is shifting from post-event review to pre-event intervention. Binance’s focus is on early identification, proactive intervention, and post-event recovery. 36,000+ risk user calls, 1.28M complaint cases handled, and $8.2B in misdirected assets recovered—all proving that compliance has now deeply integrated into user protection and operational systems. Link to the original report: https://www.(binance.com)/en/blog/compliance/612304783370108406 @heyibinance @sisibinance @pearbinance