Leveraging AI Agents for Task Automation in Blockchain Wallets with Account Abstraction

This paper investigates the integration of Artificial Intelligence (AI) agents into blockchain wallets to enhance security, usability, and automation. The study proposes using Account ion (ERC4337) combined with AI to create intelligent, adaptive wallet systems capable of optimizing transaction management, gas fee selection, and interactions with decentralized applications (dApps) and decentralized finance (DeFi) platforms. AI agents autonomously detect and prevent malicious activities such as phishing attacks, fraud, and unauthorized transactions, ensuring user funds are protected in real-time. The proposed architecture uses modular smart contracts, which facilitate wallet upgradability and adaptability, ensuring long-term compatibility with emerging technologies. This paper also discusses potential challenges, including the security risks associated with AI integration. The findings of this research lay the groundwork for the development of better wallets that could scale the adoption of blockchain technology.

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Publication Details

Published
2025-10-14
DOI
https://doi.org/10.1109/bcca66705.2025.11229558
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
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article

Leveraging AI Agents for Task Automation in Blockchain Wallets with Account Abstraction

Ivan Dimitrov, Wolfgang Prinz
Blockchain Technology Applications and Security
article

Leveraging AI Agents for Task Automation in Blockchain Wallets with Account Abstraction

Ivan Dimitrov, Wolfgang Prinz
article en

Abstract

This paper investigates the integration of Artificial Intelligence (AI) agents into blockchain wallets to enhance security, usability, and automation. The study proposes using Account ion (ERC4337) combined with AI to create intelligent, adaptive wallet systems capable of optimizing transaction management, gas fee selection, and interactions with decentralized applications (dApps) and decentralized finance (DeFi) platforms. AI agents autonomously detect and prevent malicious activities such as phishing attacks, fraud, and unauthorized transactions, ensuring user funds are protected in real-time. The proposed architecture uses modular smart contracts, which facilitate wallet upgradability and adaptability, ensuring long-term compatibility with emerging technologies. This paper also discusses potential challenges, including the security risks associated with AI integration. The findings of this research lay the groundwork for the development of better wallets that could scale the adoption of blockchain technology.

Fraunhofer Institute for Applied Information Technology (DE)
Openalex Percentile: Top 52%
Blockchain Technology Applications and Security
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