This paper explores how Generative AI enhances Extended Detection and Response (XDR) platforms by improving threat detection, investigation, and response efficiency. It explains the limitations of traditional security tools when facing modern, multi-stage attacks and shows how AI models can correlate massive telemetry data across endpoints, networks, and cloud workloads. The paper discusses use cases such as automated incident summarization, threat hunting assistance, predictive analytics, and faster root-cause analysis. By integrating GenAI with XDR, organizations can reduce alert fatigue, accelerate response times, and strengthen overall cyber resilience. The document positions AI-driven XDR as a key enabler for modern SOC operations.

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