Generative Artificial Intelligence for Next-Generation Security Paradigms

5Dynamic Threat Intelligence: Leveraging Generative AI for Real-Time Security Response

Manoj Kumar Mahto

Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Deshmukhi (V) Telangana, India

Abstract

The fast-changing cyberspace implies flexible, intelligent, and able to provide immediate operation safety precautions. Through allowing companies to transcend traditional reactive strategies, the chapter Dynamic Threat Intelligence: Harnessing Generative AI for Real-Time Detection, Analysis, and Security Response analyzes how generative artificial intelligence (AI) is transforming the area of cybersecurity. This appears at the weaknesses in conventional intelligence on threat systems—which rely on reaction times and fixed data—and conveys generative AI as a converting tool which brings together enforceable findings, streamlines difficult threat evaluations, and creates proactive safety precautions. generative machine intelligence increases the detection, identification, and mitigation of advanced cyber threats by using methods like natural language processing, data-driven synthesis, and dynamic detection of anomalies. Communicating the capability for absorbing and processing data in real-time, corresponding risks contextually, and seamlessly connected with the present structure, the chapter explores the architecture of generative AI-driven security systems. Through demonstrating realistic applications which include automated malware analysis, ...