SoK: Security and Privacy of AI Agents for Blockchain
- URL: http://arxiv.org/abs/2509.07131v1
- Date: Mon, 08 Sep 2025 18:32:15 GMT
- Title: SoK: Security and Privacy of AI Agents for Blockchain
- Authors: Nicolò Romandini, Carlo Mazzocca, Kai Otsuki, Rebecca Montanari,
- Abstract summary: Artificial Intelligence (AI)-based agents have emerged as valuable tools for interacting with blockchain environments.<n>While interest in applying AI to blockchain is growing, the literature still lacks a comprehensive survey that focuses specifically on the intersection with AI agents.<n>This paper addresses this gap by presenting the first Systematization of Knowledge dedicated to AI-driven systems for blockchain.
- Score: 4.706310663627593
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Blockchain and smart contracts have garnered significant interest in recent years as the foundation of a decentralized, trustless digital ecosystem, thereby eliminating the need for traditional centralized authorities. Despite their central role in powering Web3, their complexity still presents significant barriers for non-expert users. To bridge this gap, Artificial Intelligence (AI)-based agents have emerged as valuable tools for interacting with blockchain environments, supporting a range of tasks, from analyzing on-chain data and optimizing transaction strategies to detecting vulnerabilities within smart contracts. While interest in applying AI to blockchain is growing, the literature still lacks a comprehensive survey that focuses specifically on the intersection with AI agents. Most of the related work only provides general considerations, without focusing on any specific domain. This paper addresses this gap by presenting the first Systematization of Knowledge dedicated to AI-driven systems for blockchain, with a special focus on their security and privacy dimensions, shedding light on their applications, limitations, and future research directions.
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