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

Fuente: arXiv
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Hauptverfasser: Bonfanti, Chiara, Druetto, Alessandro, Basile, Cataldo, Ranasinghe, Tharindu, Zampieri, Marcos
Format: Preprint
Veröffentlicht: 2025
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author Bonfanti, Chiara
Druetto, Alessandro
Basile, Cataldo
Ranasinghe, Tharindu
Zampieri, Marcos
author_facet Bonfanti, Chiara
Druetto, Alessandro
Basile, Cataldo
Ranasinghe, Tharindu
Zampieri, Marcos
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23443
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
Bonfanti, Chiara
Druetto, Alessandro
Basile, Cataldo
Ranasinghe, Tharindu
Zampieri, Marcos
Artificial Intelligence
Computation and Language
Cryptography and Security
Multiagent Systems
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.
title A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
topic Artificial Intelligence
Computation and Language
Cryptography and Security
Multiagent Systems
url https://arxiv.org/abs/2510.23443