Abstract:
This chapter discusses the application of AIpowered incident response systems in modern emergency management, highlighting the integration of predictive analytics, automated decision-making, and real-time coordination between agencies. It reviews existing solutions, such as emergency response platforms and cybersecurity systems, pointing out their limitations, including fragmentation, delayed responses, and lack of predictive capabilities. The proposed AI-driven systems are designed to overcome these challenges by offering predictive models, contextual analysis, and improved coordination. Through AI algorithms, such systems can anticipate incidents, optimize responses, and ensure efficient resource allocation. The chapter emphasizes the impact of AI in enhancing the speed, accuracy, and effectiveness of incident response processes.
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