The Role of Threat Hunting in Next-Generation Cyber Defense Ecosystems

Abstract

Threat hunting has emerged as a critical component of next-generation cyber defense, enabling organizations to actively seek out adversaries rather than waiting for alerts. Unlike traditional monitoring that relies on pre-defined indicators of compromise (IoCs), threat hunting leverages hypothesis-driven investigations, behavioral analytics, and advanced telemetry to identify hidden intrusions. This paper examines the evolving methodologies of threat hunting, including the use of AI-enhanced detection tools, endpoint telemetry, and cloud-native hunting techniques. Case studies are presented on hunting for fileless malware, insider threats, and lateral movement in hybrid cloud environments. The study also explores the integration of threat hunting with security orchestration, automation, and response (SOAR) systems to streamline workflows and reduce dwell time. The findings reveal that proactive hunting significantly improves resilience, situational awareness, and preparedness against nation-state actors and cybercriminal syndicates.

KEYWORDS: Threat Hunting, Cyber Defense, Behavioral Analytics, Insider Threats, SOAR Integration