CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks

Ciprian Paduraru, Catalina Patilea, Alin Stefanescu, Alin Stefanescu

2025

Abstract

Robust cybersecurity measures are essential to protect complex information systems from a variety of cyber threats, which requires sophisticated security solutions. This paper explores the integration of Large Language Models (LLMs) to improve cybersecurity operations within Security Operations Centers (SOCs). The proposed framework has a modular plugin architecture where Agentic AI controls the information flow, in-cludes Retrieval Augmented Generation (RAG), protection methods for human-chatbot interactions and tools for managing tasks such as database interactions, code generation and execution. By utilizing these techniques, the framework aims to streamline the workflows of SOC analysts, allowing them to focus on critical tasks rather than redundant activities. The study also explores the dynamic customization of LLMs based on client data, user experience, potential risks and language preferences to ensure a user-centric approach. The results show improvements in efficiency and effectiveness and highlight the potential of LLMs in cybersecu-rity applications.

Paper Citation

in Harvard Style

Paduraru C., Patilea C. and Stefanescu A. (2025). CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 660-667. DOI: 10.5220/0013406000003928

in Bibtex Style

@conference{enase25,
author={Ciprian Paduraru and Catalina Patilea and Alin Stefanescu},
title={CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={660-667},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013406000003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - CyberGuardian 2: Integrating LLMs and Agentic AI Assistants for Securing Distributed Networks
SN - 978-989-758-742-9
AU - Paduraru C.
AU - Patilea C.
AU - Stefanescu A.
PY - 2025
SP - 660
EP - 667
DO - 10.5220/0013406000003928
PB - SciTePress