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Former OpenZeppelin co‑founder Manuel Aráoz says AI coding agents now outpace defenders, labeling all DeFi unsafe amid $1.1 bn of hacks and falling TVL.
Manuel Aráoz, co‑founder of blockchain security firm OpenZeppelin, warned on May 26 that he now considers every decentralized finance (DeFi) protocol unsafe because AI‑driven coding agents can locate and exploit smart‑contract bugs faster than defenders can patch them [1].
Key takeaways
Aráoz’s warning centers on a structural imbalance: defenders must identify and fix every vulnerability, while attackers need only a single exploit to siphon funds. He argues that recent advances in AI coding agents have tipped this balance dramatically, allowing machines to read smart‑contract code and generate exploits at “machine speed” [1][3]. The concern is amplified by reports that models such as Anthropic’s restricted Claude Mythos can autonomously discover and weaponize software flaws, surpassing existing automated tools [3][4].
The timing of the warning coincides with a series of high‑profile breaches. In April 2026, Kelp DAO lost $292 million, Drift $285 million, and Euler $197 million, contributing to a month‑long outflow of more than $600 million from DeFi protocols [2]. Over the past year, total losses from DeFi hacks exceed $1.1 billion, and the sector’s total value locked has dropped by over $20 billion, reflecting both market weakness and security incidents [3][4].
OpenZeppelin itself has pushed back on Aráoz’s exit advice. The firm released a “Four Layers of DeFi Risk” framework in May, emphasizing continuous monitoring, bug‑bounty programs, formal verification, and insurance as necessary safeguards beyond static audits [2][4]. It also launched an AI‑assisted audit subscription to complement traditional reviews, signaling confidence that defensive tools can evolve alongside offensive AI capabilities [1].
Critics of Aráoz’s position, such as Aave Chan Initiative founder Marc Zeller, argue that code flaws accounted for fewer than 10 % of DeFi losses last year, with most incidents tied to parameter misconfigurations or weak operational security [1]. Investor Jacob Franek added that high‑TVL protocols would already be drained if the AI threat were as pervasive as suggested, and he expects future AI models to aid formal verification and reduce attack surfaces [1].
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The debate highlights a pivotal moment for DeFi risk management. If AI coding agents continue to outpace defensive measures, the traditional audit‑centric model may prove insufficient, prompting institutions to demand continuous, AI‑augmented security and broader risk‑mitigation strategies. Conversely, the industry’s pushback suggests confidence that emerging defensive AI tools and layered security frameworks can restore balance. Monitoring how these opposing forces evolve will be crucial for investors and developers navigating the rapidly changing DeFi landscape.
AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 4 outlets · Jun 2, 2026 · How we report