📰 Key Takeaways

Immunefi CEO Amador warns the next 3-4 years will be a critical生死存亡 period for the crypto industry. He points out that until cybersecurity teams can leverage AI models’ defensive capabilities to build attacker-proof codebases, the entire industry will remain exposed to AI-accelerated渗透 threats. If the industry adopts crowdsourced security solutions more broadly, allowing more security researchers to turn AI models into defensive tools, this crisis period could potentially shrink to under two years.

Amador’s comments come on the heels of Anthropic’s release of its latest model, Claude Fable 5, which has sparked industry concerns about the model potentially accelerating crypto vulnerability attacks. In response, Anthropic stated that Fable 5 has built-in safety mechanisms that automatically route requests involving sensitive topics like cybersecurity to another model, Claude Opus 4.8, for processing.

This wave of discussion comes against the backdrop of a series of major hack incidents in the DeFi space. On April 19, hackers drained approximately 116,500 rsETH (restaked Ethereum) from Kelp DAO’s LayerZero-powered rsETH cross-chain bridge, worth about $290-293 million at the time. LayerZero later pointed out that Kelp DAO was using a “1/1 Decentralized Verifier Network (DVN)” configuration, with the entire cross-chain message path relying on a single validator, creating a single point of failure. LayerZero stated it had previously advised Kelp DAO to avoid using this architecture. The Kelp DAO hacker has since laundered nearly all of the $220 million in stolen funds, leaving little hope for recovery.

💬 JudyAI Lab’s Perspective

The rapid evolution of AI tools has escalated both attack and defense capabilities. Immunefi CEO直言 the next 3-4 years will be a critical生死存亡 period for the crypto industry—a reality all developers deploying applications on-chain must confront.

The Kelp DAO incident illustrates exactly why architecture choice quality matters so much. The entire $290 million cross-chain bridge path relied on a single validator, using a 1/1 DVN configuration that created an obvious single point of failure. LayerZero had raised recommendations beforehand, but they weren’t adopted—ultimately $220 million was laundered and funds are virtually hopeless to recover. For AI builders, the core insight from this case is: when AI dramatically lowers the barrier for attackers, any “temporary compromise” in architecture decisions could come at a heavy price. Amador mentioned that if more security researchers turn AI models into defensive tools and take the crowdsourced security route, the crisis period could shrink from four years to two years—the defense side also needs to stay ahead of attackers from a tooling perspective.

If your system relies on any single validator or single trust source design, now’s the time to revisit your trust assumptions—don’t let a seemingly convenient choice become the most vulnerable entry point for your entire system.

📅 Source Info

🔗 Further Reading