Ethereum co-founder Vitalik Buterin has proposed a layered approach to cryptocurrency security that emphasizes redundancy and multi-angle verification to align systems with user intentions. Published on February 22, 2026, his framework acknowledges the impossibility of perfect security due to the complexity of human intent. The strategy aims to protect users from hacks and exploits while preserving usability.
Ethereum co-founder Vitalik Buterin has introduced a framework for cryptocurrency security that prioritizes human-centric design, as detailed in a publication dated February 22, 2026. The approach focuses on reducing the gap between what users intend and how systems respond, particularly in high-risk scenarios like wallet hacks and smart contract vulnerabilities.
Buterin argues that perfect security cannot be achieved because user intent is inherently complex. "Perfect security is impossible—not because machines are flawed, or because humans designing them are flawed, but because the user’s intent is fundamentally an extremely complex object," he wrote. For example, even a basic transaction such as sending 1 ETH requires unspoken assumptions about recipient identity, potential blockchain forks, and everyday knowledge that code cannot fully capture. Privacy concerns further complicate matters, with risks from metadata patterns, message timing, and behavioral signals potentially leading to information leaks.
This challenge echoes difficulties in AI safety, where defining precise goals has proven elusive. To address it, Buterin advocates redundancy, where users express intent through multiple methods, and systems proceed only if they align. This principle extends to Ethereum wallets, operating systems, formal verification tools, and hardware security modules.
Practical applications include type systems that check program logic against data structures, formal verification for mathematical proofs of code behavior, transaction simulations for previewing outcomes, and post-action assertions to confirm results. Multisig wallets and social recovery distribute control across keys, avoiding single failures.
Buterin also highlights the potential role of large language models (LLMs) in security. He describes them as "a simulation of intent," with generic models providing common-sense checks and fine-tuned ones spotting individual anomalies. "LLMs should under no circumstances be relied on as a sole determiner of intent. But they are one ‘angle’ from which a user’s intent can be approximated," he noted. Integrating LLMs with other methods can improve detection without introducing vulnerabilities.
To balance protection and usability, the framework suggests automating low-risk actions while adding checks for high-risk ones, such as transfers to new addresses or large amounts. Overall, this layered method seeks to minimize risks in decentralized systems without excessive user friction.