This review provides a novel synthesis of recent Large Language Model applications in threat hunting and identifies critical research gaps, and presents a refined perspective on the practical implementation and future trajectory of these technologies.
To improve cybersecurity across industries, Cyber Threat Intelligence (CTI) is becoming increasingly crucial. This systematic review explores how CTI practices are evolving in response to advancements in Artificial Intelligence (AI), particularly in the context of Large Language Models (LLMs). We examined 61 peer-revie...
Hilalah Alturkistani, Abdul Ghafar Jaafar, S. Chuprat et al.· International journal of res...· 0 citations
The reviewed literature indicates that AI-based methodologies often demonstrate superior detection capabilities for intricate and previously unseen attack patterns compared to traditional methods; however, direct performance comparisons are complicated due to discrepancies in datasets, experimental designs, and evaluat...
Jaswanth Garugu· International Journal for Re...· 0 citations
A structured taxonomy is proposed to organize various dimensions of AI-driven cybersecurity; review them critically; and finally, discuss key challenges, open problems, and emerging trends.
Artificial intelligence (AI) has emerged as a transformative force in cybersecurity, offering capabilities that extend far beyond the static, rule-based defenses of the past. Machine learning, deep learning, and natural language processing techniques are increasingly embedded in intrusion detection systems, threat inte...
Nicolas Guzman Camacho· Journal of Artificial Intell...· 0 citations
The increasing sophistication of cyber threats poses serious challenges to national security (NS) and critical infrastructure (CI), requiring adaptive and intelligence-driven cyber defense mechanisms. While recent artificial intelligence (AI)-based methods have improved detection capabilities, many existing solutions f...
Krishan Berwal, D. Makhija, R. Bodade· 2026 6th International Confe...· 0 citations
This paper presents the design, implementation, and evaluation of an AIassisted cybersecurity intelligence platform integrating the DeepSeek API to detect, analyze, and mitigate digital threats in the Nigerian context.
Cyrus Ebere Orji, Paul Nosike, O. C. et al.· International Journal of Inn...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
