The Boko Haram insurgency in Northeast Nigeria has exposed major weaknesses in conventional approaches to conflict prevention and early warning. Despite sustained military operations and expanded intelligence efforts since 2009, attacks on civilians, abductions, forced displacement, and cycles of communal insecurity persisted across Borno, Adamawa, and Yobe States. A key limitation of many existing early warning mechanisms has been their strong emphasis on state centred intelligence and kinetic response, with insufficient attention to local knowledge systems and gendered indicators of insecurity. This article examines how a gender sensitive early warning approach can strengthen community security in Northeast Nigeria by drawing lessons from the Boko Haram conflict. Using a qualitative desk based methodology, the study relies on secondary data from scholarly literature, policy reports, humanitarian assessments, and conflict databases. The paper argues that women are not only victims of insurgency but also critical actors in threat detection, resilience building, and preventive action because of their access to households, markets, schools, health spaces, and informal social networks where early signs of radicalisation, recruitment, displacement, and community tension often emerge first. The study finds that warning systems that overlook these social spaces risk missing vital indicators such as sudden disappearances, unusual movement patterns, coercive marriage practices, localised gender based violence, and shifts in household economic distress. It further finds that community trust, rapid institutional response, and inclusion of women in local security structures are central to effective prevention. The article concludes that sustainable security in Northeast Nigeria requires a transition from narrowly centralised warning models to inclusive, community based, and gender responsive systems. It recommends the institutionalisation of women in early warning platforms, stronger civilian reporting channels, improved interagency response mechanisms, and the integration of social data into security planning.