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A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration

Artificial Intelligence 2025-10-28 v1 Computation and Language Cryptography and Security Multiagent Systems

Abstract

The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases, statutes, and technical vulnerabilities. This knowledge divide hinders collaboration between legal experts and cybersecurity professionals. To address this important gap, this work provides a first step towards intelligent systems capable of navigating the increasingly intricate cyber-legal domain. We demonstrate promising initial results on multilingual tasks.

Keywords

Cite

@article{arxiv.2510.23443,
  title  = {A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration},
  author = {Chiara Bonfanti and Alessandro Druetto and Cataldo Basile and Tharindu Ranasinghe and Marcos Zampieri},
  journal= {arXiv preprint arXiv:2510.23443},
  year   = {2025}
}

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7 pages