AI Era Security: Data Centers Face Evolving Threats

Data centers are facing new security challenges as AI workloads increase the value of their infrastructure and data. A security incident, once localized, can now have significant financial and reputational consequences. Etienne Van Der Watt from Axis Communications notes that while risks aren't entirely new, the value of what's being protected has changed. This requires operators to adopt a more agile mindset. Physical security remains critical, extending beyond traditional perimeter breaches. Operators must consider social engineering, contractor misuse, supply chain exposure, and drone detection risks. Attackers are becoming more patient, looking for weaknesses in procedures, vendors, and daily operations. The threat landscape now includes people, processes, and devices, not just fences and cameras. Van Der Watt recommends starting with foundational design principles like layered detection zones, rather than individual technologies. This means having structured security for fence lines, access points, and internal spaces, each with its own detection and response. This comprehensive approach is essential for data center resilience in the AI era.