CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders

The increasing frequency and sophistication of cyberattacks demand innovative approaches to strengthen defense capabilities. Training on live infrastructure poses significant risks to organizations, making secure, isolated cyber ranges an essential tool for conducting Red vs. Blue Team training events. These events enable security teams to refine their skills without impacting operational environments. While such training provides a strong foundation, the ever-evolving nature of cyber threats necessitates additional support for effective defense. To address this challenge, we introduce CyberAlly, a knowledge graph-enhanced AI assistant designed to enhance the efficiency and effectiveness of Blue Teams during incident response. Integrated into our cyber range alongside an open-source SIEM platform, CyberAlly monitors alerts, tracks Blue Team actions, and suggests tailored mitigation recommendations based on insights from prior Red vs. Blue Team exercises. This demonstration highlights the feasibility and impact of CyberAlly in augmenting incident response and equipping defenders to tackle evolving threats with greater precision and confidence.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3715171
Citations
2
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
6.49
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article

CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders

Ahmad Mohsin, Helge Janicke, Kristen Moore, Minjune Kim et al.
2 citations
Digital and Cyber Forensics
6.49
article

CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders

Ahmad Mohsin, Helge Janicke, Kristen Moore, Minjune Kim, Ahmed Ibrahim, Robin Doss, Derui Wang, Seyit Ahmet Camtepe, Diksha Goel, Jeff Wang
article en
2 citations

Abstract

The increasing frequency and sophistication of cyberattacks demand innovative approaches to strengthen defense capabilities. Training on live infrastructure poses significant risks to organizations, making secure, isolated cyber ranges an essential tool for conducting Red vs. Blue Team training events. These events enable security teams to refine their skills without impacting operational environments. While such training provides a strong foundation, the ever-evolving nature of cyber threats necessitates additional support for effective defense. To address this challenge, we introduce CyberAlly, a knowledge graph-enhanced AI assistant designed to enhance the efficiency and effectiveness of Blue Teams during incident response. Integrated into our cyber range alongside an open-source SIEM platform, CyberAlly monitors alerts, tracks Blue Team actions, and suggests tailored mitigation recommendations based on insights from prior Red vs. Blue Team exercises. This demonstration highlights the feasibility and impact of CyberAlly in augmenting incident response and equipping defenders to tackle evolving threats with greater precision and confidence.

Edith Cowan University (AU), Commonwealth Scientific and Industrial Research Organisation (AU), Deakin University (AU), Data61 (AU)
Openalex Percentile: Top 4%
Digital and Cyber Forensics
6.49
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CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders — Ahmad Mohsin, Helge Janicke, et al. · (2025) | TGRS Research Map | TGRS