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Dynamic Defense Strategies With Generative AI

Dynamic Defense Strategies With Generative AI
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Author(s): Khizar Hameed (University of Tasmania, Australia), Muhammad Tayyab (Taylor's University, Malaysia), Noor Zaman Jhanjhi (Taylor's University, Malaysia), Syeda Mariam Muzammal (Taylor's University, Malaysia)and Majid Mumtaz (Independent Researcher, UK)
Copyright: 2025
Pages: 54
Source title: Utilizing Generative AI for Cyber Defense Strategies
Source Author(s)/Editor(s): Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/979-8-3693-8944-7.ch003

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Abstract

This chapter examines the issues that traditional cyber defense tactics confront and investigates the limitations of static defense measures and the necessity for dynamic and adaptable alternatives. Furthermore, the chapter discusses the principles of GenAI for cyber defense and its approaches, as well as an overview of how GenAI allows synthetic data to be developed to train robust defense models and recognize emerging threats. A separate part discusses how GenAI can be applied to dynamic threat detection and response in real-time cyber defense operations. This chapter emphasizes the importance of dynamic threat detection and response in real-time cyber defense operations and adaptive security policies based on GenAI. A full treatment of predictive analytics and forecasting, as well as threat intelligence fusion using GenAI techniques, is included in the book chapter. Finally, the chapter finishes with real-world examples and use cases demonstrating the efficacy of dynamic defense strategies utilizing GenAI, ethical and legal considerations, future directions, and new trends.

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