# LLMs for Cyber Security: New Opportunities

arXiv: https://arxiv.org/abs/2404.11338 · HTML: https://mlsanity.com/paper/2404.11338/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Apr 2024.

## Built on by (most cited first, 11 of 11)

- [Large Language Models for Cyber Security: A Systematic Literature Review](https://mlsanity.com/paper/2405.04760/) (2024)
- [Content Moderation by LLM: From Accuracy to Legitimacy](https://mlsanity.com/paper/2409.03219/) (2024)
- [Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks](https://mlsanity.com/paper/2410.20911/) (2024)
- [Multimodal Large Language Models for Phishing Webpage Detection and Identification](https://mlsanity.com/paper/2408.05941/) (2024)
- [Digital Red Queen: Adversarial Program Evolution in Core War with LLMs](https://mlsanity.com/paper/2601.03335/) (2026)
- [LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems](https://mlsanity.com/paper/2505.00240/) (2025)
- [From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization](https://mlsanity.com/paper/2510.02389/) (2025)
- [Prompt Inject Detection with Generative Explanation as an Investigative Tool](https://mlsanity.com/paper/2502.11006/) (2025)
- [Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models](https://mlsanity.com/paper/2507.13357/) (2025)
- [Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques](https://mlsanity.com/paper/2507.13629/) (2025)
- [Data-Efficient Adaptation of LLMs via Attention Head Reweighting](https://mlsanity.com/paper/2607.13425/) (2026)

## Abstract (arXiv)

Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security, specifically exploring and summarizing the potential of LLMs in addressing challenging problems in the security and safety domains.