This book explores innovative applications of artificial intelligence, machine learning, and modeling to enhance public and global health security. It advocates for a shift from reactive to proactive management of health crises, emphasizing systems-based futures thinking and anticipatory scenarios. Highlighting the lessons from COVID-19, the book underscores the importance of tech-enabled solutions like large-scale simulations and advanced analytics for early detection and response to biological threats. It integrates insights from ecology, climate change, and multi-hazard events, aiming to balance disease control with societal well-being. Essential for public health researchers, policymakers, and national security experts, the book offers recommendations and roadmaps for future health crisis management.