ODDITY is an AI-driven GPS spoofing detection and classification solution developed by Disruptive Industries. It uses geometric algorithms and machine learning to identify and categorize GPS spoofing events in near real-time, covering both land and air domains. The platform provides geospatial intelligence by pinpointing the emission locations of spoofing events and the altered destinations of affected signals. This enables stakeholders to assess the geographic scope of interference, prioritize responses, and apply appropriate countermeasures. ODDITY delivers automated detection and classification of spoofing incidents, categorizing them by type and underlying patterns. Users receive timely alerts to update situational awareness, support operational planning, and evaluate global operations with added context. The solution is designed as a plug-and-play signal interference feed that integrates with existing Geographic Information Systems (GIS). Its analysis is described as fully explainable, meaning the reasoning behind detections can be understood by users rather than functioning as a black box. Key use cases include mission planning, risk forecasting, and strategic decision-making for organizations that depend on GPS integrity. ODDITY is positioned for use across multiple sectors where GPS reliability is operationally critical.