In recent years, intensifying floods, droughts, mesoscale convective systems, storms, and heatwaves have highlighted the urgent need to turn scientific advances into practical tools that protect societies and save lives. This session aims to enhance how artificial intelligence (AI), machine learning (ML), and high-resolution modeling are being used to support monitoring control systems, early warning systems, disaster preparedness, and adaptive planning in societies facing all types of hydrometeorological extreme events and associated risks. We welcome contributions that highlight cross-sector collaboration, co-designed tools with decision-makers, and efforts to build trust in high-resolution models and AI-enhanced forecasts among the public and stakeholders. Case studies from vulnerable or data-scarce regions, and examples of integrating science into policy or emergency response, are especially encouraged. This session invites researchers, practitioners, and community leaders to share knowledge on bridging the gap between prediction and protection that truly supports societal resilience.