mlsanityData to 14 Oct 2026

SoK: Security and Privacy of AI Agents for Blockchain

arXiv 2509.07131 ↗First posted 8 Sep 2025cs.CR cs.AIcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 38 of its 79 references that are in the map. First posted on arXiv 8 Sep 2025.

Builds on

38 of 79 references.

References · 38

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26 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025Security Analysis of Agentic AI Communication Protocols: A Comparative Evaluationcited by 9
  2. 2025Secure Autonomous Agent Payments: Verifying Authenticity and Intent in a Trustless Environmentcited by 3
  3. 2026Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agentscited by 2
  4. 2026Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directionscited by 1