A recent obvious trend is that as AI technology continues to evolve, the security challenges faced by the blockchain ecosystem are rapidly escalating. Hackers are beginning to use AI tools in bulk, automating old tricks like phishing scams and malicious contracts — not only faster but also particularly difficult to defend against.

This is completely different from traditional manual operations. AI can analyze user behavior and on-chain data in seconds, generating highly realistic deceptive content, sometimes even inducing you to misauthorize at the moment you sign a transaction. Asset risks are amplified instantly, and cold wallets and basic security measures are no longer sufficient.

Conversely, the industry is also using AI to fight back. Real-time risk detection, automated smart contract auditing, pre-transaction security prompts — these defenses are now powered by AI. With AI being introduced on both offensive and defensive sides, the security landscape of blockchain has shifted from passive vulnerability to an intelligent, dynamic confrontation.

In simple terms, AI is like a double-edged sword. For the future survival of the blockchain ecosystem, speed of innovation alone is no longer enough. The key is whether we can build a long-term, sustainable intelligent security system — one that can defend against hackers' AI tools and continuously optimize our own protective strategies. This is an ongoing game of cat and mouse.