Cryptocurrency exchange Bybit has announced a major security achievement, revealing that its artificial intelligence-powered monitoring system prevented approximately $300 million in user losses from fraudulent activities during the fourth quarter of 2025. The results, shared in late February 2026, stem from the platform's 2025 security initiative.
Bybit's Dynamic Risk-Based Protection System identified roughly $500 million in suspicious withdrawal attempts in Q4 2025 alone. From this flagged amount, the exchange successfully intercepted or recovered about $300 million before the funds could be transferred to fraudulent addresses. The company stated this effort directly protected more than 4,000 user accounts, with an additional 8,000 users potentially shielded through early address blocklisting and warning systems.
The exchange's multi-layer risk framework operates in real-time, using AI models trained to spot abnormal wallet behavior and transaction patterns. When the system detects suspicious activity—such as transfers to wallets linked to known scam networks—it can trigger automated prompts, additional verification checks, or instant withdrawal blocks. For high-risk signals, a cooling-off period is implemented, temporarily freezing assets while risk teams investigate.
Bybit developed this framework with assistance from leading blockchain intelligence firms, including TRM Labs, Elliptic, and Chainalysis. The approach marks a strategic shift from reactive security—chasing stolen funds after the fact—to proactive defense, aiming to stop scams before funds disappear into complex laundering networks.
The announcement comes against a backdrop of surging crypto fraud. Industry data indicates billions of dollars were lost to scams in 2025, with a significant year-over-year surge driven by increasingly sophisticated tactics. Fraudsters are now employing AI-generated deepfakes, fake trading platforms, and coordinated wallet networks to execute impersonation scams and social engineering campaigns at scale.
Bybit believes its initiative sets a higher standard for platform safety. As fraud tactics evolve, exchanges are under growing pressure to deploy advanced tools like AI and real-time analytics. The effectiveness of such systems is becoming central to user confidence and regulatory perceptions, especially as institutional participation in crypto markets expands.
