The AI revolution is often associated with chatbots and powerful computing, but every AI system depends on a rapidly expanding network of physical infrastructure. From data centers and manufacturing facilities to logistics hubs and smart cities, these increasingly complex environments are prompting organizations to rethink physical security as an intelligent operational capability that strengthens resilience and supports faster, better decision-making. Securing the infrastructure behind the AI boom The rapid growth of artificial intelligence is driving an unprecedented wave of investment in the infrastructure that powers it. According to market researcher IDC, worldwide AI infrastructure spending is forecast to reach $497 billion in 2026, with the market expected to more than double to exceed $1 trillion by 2029. As AI capabilities continue to advance, companies like Hanwha Vision, a global video security solutions provider headquartered in South Korea, are applying them to transform the physical security field. Hanwha Vision’s ongoing efforts to incorporate AI across its product lines have delivered real-time threat detection, faster incident investigations, enhanced imagery, and more efficient security operations across a wide range of industries. The company’s AI-powered cameras, devices, and software also go beyond traditional security applications, turning video data into analytics that generate business insights to inform an organization’s future direction. While much of the conversation around AI has focused on cybersecurity, the physical environments supporting AI have become equally strategic assets. “Data centers now fall under the category of critical infrastructure and require extensive security measures, including AI‑enabled monitoring systems, access control, perimeter protection, and continuous monitoring,” says Aaron Saks, Director of Product Marketing and Sales Enablement at Hanwha Vision. With a single AI accelerator costing tens of thousands of dollars, modern AI data centers can contain hundreds of millions of dollars in computing hardware. As AI infrastructure becomes increasingly central to business operations,