Dragonfly: The Expected Wave of AI Hacks in DeFi Never Materialized
Many in the industry predicted that the adoption of artificial intelligence would trigger an avalanche of hacker attacks on decentralized finance. However, as my analysis shows, these fears proved unfounded. Dragonfly venture capital fund managing partner Haseeb Qureshi shared data that I find extremely telling: despite a record number of incidents, the median damage from hacks in 2026 dropped to below $500,000, compared to $2 million the previous year.
Why AI Did Not Become a Threat to DeFi?
The key conclusion I draw from these figures is that attackers using AI have focused on small or abandoned projects. This makes sense: such platforms are less protected and often lack the resources to implement modern security systems. Major DeFi protocols, on the other hand, have managed to adapt and significantly strengthen their defenses, making them virtually invulnerable to automated attacks.
From my perspective, this speaks to the maturity of the market: the industry is not just reacting to threats but actively anticipating them. AI tools that could have become hackers' weapons are ultimately working for defense: protocols use machine learning to monitor anomalies and preemptively block suspicious transactions.
Expert commentary: The decline in median damage amid a rise in the number of attacks is a classic sign that hackers have shifted to "small fish." However, one should not let their guard down: as soon as major projects relax their vigilance, AI threats may return in a new, more sophisticated form. The market must remain vigilant and continue investing in cybersecurity.