This podcast explores the transition of maritime security from reactive measures to proactive, intelligence-led risk management through the integration of artificial intelligence. Modern surveillance systems now combine vast datasets, including satellite imagery, radar, and vessel tracking, to identify suspicious patterns and predict potential pirate attacks or illegal fishing. Advanced machine learning models help security teams distinguish between normal navigation and anomalous behaviours, such as signal spoofing or coordinated movements. These digital tools provide real-time decision support, allowing naval forces and commercial operators to respond to threats with greater precision. Ultimately, the source argues that AI-driven analytics have become an essential infrastructure for protecting global supply chains and ensuring the safety of seafarers.