Wildfire risks in the Mediterranean are threatening ecosystems and human health. The main consequences are loss of biodiversity, soil degradation, and increased hydrogeological hazards. Climate change is intensifying these phenomena, particularly in Mediterranean regions such as Calabria, Southern Italy, where the frequency and severity of wildfires are quite high. In response, the Tech4You NRRP Ecosystem project has launched Pilot Project 1.4.1, “Multi-sensor wildfire risk monitoring and early warning systems,” which adopts a multidisciplinary approach that integrates environmental, climatic, social, and economic factors. The system integrates ground-based sensor networks (e.g., CO2 sensors), smart cameras, and remote sensing with advanced modeling techniques, including AI-driven fire risk mapping and real-time fire propagation models. Preliminary results demonstrate the high sensitivity of the sensor network in detecting fire events, with AI-enhanced alerts improving early detection. Fire propagation models have been calibrated using GPU (Graphics Processing Unit)—based computation, enabling large-scale operational simulations. In our tests, deep learning methods outperformed traditional indices, such as FWI, in wildfire susceptibility mapping. Moreover, burned area detection algorithms integrating Sentinel and Landsat data have shown promising accuracy in differentiating wildfire scars from agricultural activities. Finally, an initial socio-economic damage assessment, based on specific struggle costs and contingent valuation, has revealed a notable willingness among local citizens to pay to preserve the ecosystem. This contribution outlines the system’s methodological framework and early outcomes, aiming to inform adaptive wildfire management strategies in climate-sensitive Mediterranean environments.