Authors: Yagmur Yigit, William J Buchanan, Madjid G Tehrani, Leandros Maglaras

Published on: March 13, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2403.08701

Summary

• What is new: This paper introduces a novel use of large language models (LLMs) and generative artificial intelligence (GenAI) in cybersecurity, focusing on their application in enhancing security measures, vulnerability assessment, and threat identification.
• Why this is important: The evolving landscape of cyber threats requires innovative approaches for effective identification and mitigation.
• What the research proposes: Employing LLMs, such as Google’s Gemini and ChatGPT-4, to generate cybersecurity insights that assist in identifying and neutralizing advanced cyber threats.
• Results: Demonstrates enhanced capability in threat identification and security protocol improvement through the integration of GenAI, suggesting a broader applicability of AI-driven solutions in cybersecurity.

Technical Details

Technological frameworks used: GenAI

Models used: Google’s Gemini, ChatGPT-4

Data used: Not specified

Potential Impact

Cybersecurity solution providers, digital security services, tech companies invested in AI development

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