In the crypto world, the cat-and-mouse game between attackers and defenders has never stopped. With the infiltration of artificial intelligence, the security challenges facing decentralized finance (DeFi) are evolving from simple code exploits into sophisticated intelligent confrontations. When AI is weaponized to attack DeFi protocols, threats like vulnerability discovery and flash loan manipulation become smarter and harder to detect. Yet this is not a one-sided escalation; every advance in attack techniques forces the defense ecosystem to reexamine its foundational principles.
The DeFi industry is responding with a “defense through offense” approach. Developers harness machine learning to monitor on-chain transactions for anomalous patterns in real time, build dynamic risk assessment models, and even use adversarial training to uncover weak points in smart contracts ahead of time. This threat escalation sparked by AI is precisely the turning point where DeFi security shifts from reactive patching to proactive, rule-rewriting resilience.