GeoAI (Geospatial Artificial Intelligence) combines geospatial data analysis with AI capabilities to enhance decision-making. Its application in network security offers a revolutionary approach to detecting and mitigating cyber threats. This paper explores the integration of GeoAI with real-time intrusion detection systems (IDS), discussing theoretical foundations, practical applications, and challenges. Case studies illustrate GeoAI’s role in identifying geographically contextualized cyber threats. We also examine the integration of machine learning, geospatial analytics, and real-time processing to improve network resilience. Challenges like data privacy and system complexity are discussed, alongside future trends in GeoAI-enabled network security.