
Curated systematic literature review of 756+ papers on LLM applications in cybersecurity, covering threat intelligence, vulnerability detection, fuzzing, attack/defense, and future research directions.
📊 RQ1: Domain LLMs | 🎯 RQ2: Applications | 🤖 RQ3: Future Directions
📆[2026-06-15] We have updated the related papers up to 2026/06/15, with 108 new papers added.
📆[2026-02-09] We have updated the related papers up to 2026/01/31, with 80 new papers added (2025.08.31-2026.01.31).
📆[2025-11-17] We have updated the related papers up to 2025/08/31, with 176 new papers added (2025.03.01-2025.08.31).
📆[2025-03-03] We have updated the related papers up to 2025/02/28, with 33 new papers added (2025.01.01-2025.02.28).
📆[2025-01-21] We have updated the related papers up to 2024/12/31, with 74 new papers added (2024.09.01-2024.12.31).
📆[2025-01-08] We have included the publication venues for each paper.
📆[2024-09-21] We have updated the related papers up to 2024/08/31, with 75 new papers added (2024.06.01-2024.08.31).
👉 View Full Literature Review →
The complete literature review with 756+ papers has been moved to a separate file for better readability.
RQ2: LLM Applications in Cybersecurity
RQ3: Future Research Directions
@article{zhang2025llms,
title={When llms meet cybersecurity: A systematic literature review},
author={Zhang, Jie and Bu, Haoyu and Wen, Hui and Liu, Yongji and Fei, Haiqiang and Xi, Rongrong and Li, Lun and Yang, Yun and Zhu, Hongsong and Meng, Dan},
journal={Cybersecurity},
volume={8},
number={1},
pages={1--41},
year={2025},
publisher={SpringerOpen}
}
| RQ | Category | Papers | Percentage | Trend |
|---|
| RQ1 | 📊 Evaluation Benchmarks | 67 | 8.9% | 📊 Stable |
| 🔧 Fine-tuned LLMs | 36 | 4.8% | 📊 Stable | |
| RQ2 | 🛡️ LLM Assisted Defense | 130 | 17.2% | 📈 Growing |
| 🐛 Vulnerability Detection | 106 | 14.0% | 📈 Growing | |
| ⚔️ LLM Assisted Attack | 110 | 14.6% | 🔥 Hot | |
| 🔨 Program/Vulnerability Repair | 72 | 9.5% | 📊 Stable | |
| 📦 Others | 61 | 8.1% | 📊 Stable | |
| 🎯 Threat Intelligence | 53 | 7.0% | 📊 Stable | |
| 🔍 FUZZ | 26 | 3.4% | 📊 Stable | |
| ⚠️ Insecure Code Generation | 32 | 4.2% | 🚫 Unmaintained | |
| RQ3 | 🤖 Agent4Cybersecurity | 63 | 8.3% | 🚀 Emerging |