Скачать или смотреть Academic Research Series: The Role of Large Language Models in Software and System Security

As part of the academic research series on applications of Large Language Models (LLMs) in cybersecurity and accounting, this video presents the second article, focusing on the role of LLMs in enhancing software and system security.
This article is derived from the recent comprehensive reference study:
Xu, H., Wang, S., Li, N., Wang, K., Zhao, Y., Chen, K., ... & Wang, H. (2024). Large language models for cyber security: A systematic literature review. ACM Transactions on Software Engineering and Methodology.
🔑 Topics covered in this video:
• Source code analysis and vulnerability detection (CodeGPT)
• System behavior monitoring and intrusion detection (SecureLLM)
• Supporting software testing and verification (VulnScannerGPT)
• Threat analysis and risk classification
📌 The article demonstrates how LLMs can:
• Automate complex security operations
• Enhance detection accuracy and reduce false positives
• Improve response speed and minimize operational risks
• Support the development of more secure and reliable software
Through these applications, LLMs offer organizations a strategic tool to safeguard their software and systems, providing sustainable improvements in resilience against evolving cyber threats.
🔖 Hashtags (موحدة للنسختين):
#AI #LLM #Cybersecurity #SoftwareSecurity #SystemSecurity #DataSecurity #VulnerabilityDetection #ArtificialIntelligence #Research #DigitalTransformation