Artificial Intelligence (AI) is transforming risk control and loss prevention in high-stakes industries such as oil and gas, manufacturing, and construction by enabling proactive, data-driven strategies. This article explores AI’s core functions—simulation, recognition, monitoring, prediction, and action—and their role in creating robust safety ecosystems. Using the Known vs. Unknown Matrix, it provides a framework for categorizing risks and selecting appropriate AI technologies to address both predictable and unforeseen challenges. Aimed at Environment, Health, and Safety (EHS) professionals, risk managers, and industry leaders, this podcast offers actionable insights to shift organizations from reactive to adaptive loss prevention, enhancing resilience and operational continuity in complex risk landscapes.