AI-Ready Data Centres: Securing the Infrastructure Behind the AI Revolution
Rudie Opperman, Manager for Engineering & Training MEA at Axis Communications, discusses how AI is transforming data centre design, why physical security is becoming a critical pillar of cyber resilience, and how technologies such as thermal analytics, digital twins and open security platforms are helping organisations build resilient AI-ready infrastructure.
How is the rise of AI workloads changing the design and architecture of modern data centers?
AI workloads are shifting data center design from “general-purpose” to “specialized density.” We are seeing a move toward modular, high-density racks that prioritize compute density, power delivery, and thermal efficiency. For Axis, this means the physical security infrastructure—cameras, sensors, and access control—must also become more intelligent and increasingly software-integrated. It’s no longer just about guarding the perimeter; it’s about providing trusted situational awareness and visibility into the physical environment supporting critical AI infrastructure.
What are the biggest challenges in scaling infrastructure to support high-density AI compute environments?
One of the biggest challenges is maintaining operational resilience as rack density increases. In these environments, physical incidents—such as cooling failures, temperature anomalies, or unauthorized rack access—can quickly impact availability if not detected early. This is driving a shift from room-level monitoring toward more granular rack- and aisle-level visibility. Axis technology contributes to high-quality visual and thermal information that can be integrated with broader data center management platforms.
How are power, cooling, and networking requirements evolving with AI-driven infrastructure?
AI infrastructure places significantly greater demands on power and cooling, making environmental monitoring increasingly important. Thermal imaging can help operators detect abnormal heat patterns on electrical equipment or cooling infrastructure before they develop into larger issues. Combined with analytics and integration into management systems, this can provide earlier visibility into potential operational concerns.
Where do you see the convergence between physical infrastructure management and cybersecurity today?
This convergence is no longer a goal; it is a necessity. A breach in physical security (like a tailgating event or a rogue device plugged into an open port) can quickly become a cybersecurity incident. We view the physical camera and sensor not as “surveillance tools,” but as cyber-secure network endpoints. They must be protected through hardware-based cybersecurity technologies, such as Axis Edge Vault. This is to ensure they don’t become an entry point for bad actors into the data center’s core network.
What new security risks emerge as data centers become more software-defined and AI-orchestrated?
As data centers become increasingly software-defined, the attack surface expands through automation platforms, APIs, and interconnected management systems. Protecting the integrity of both operational data and connected devices becomes increasingly important. Axis technologies such as signed video, secure boot, hardware-based device identity, and encrypted communications help establish trust in the information being shared across these environments.
How important is real-time simulation or digital twin technology in planning and managing AI infrastructure?
Digital twin technology is becoming an increasingly valuable planning and operational tool. By combining information from multiple systems, operators can better understand how physical events may affect facility operations before they occur. Axis devices contribute trusted visual information and metadata that can potentially complement these digital models, helping maintain an accurate representation of the physical environment.
How are vendors adapting to the need for faster deployment cycles in AI infrastructure environments?
Vendors must move toward “Pre-configured, Open Platforms.” We are adapting by ensuring our devices are “Designed for data center deployments “—meaning they arrive with hardened security configs out of the box and support open APIs that allow for rapid integration with existing BMS (Building Management Systems) and DCIM (Data Center Infrastructure Management) platforms. The focus is on reducing the time between installation, commissioning, and operational readiness.— effectively reducing the time from “cabling a rack” to “securing the asset.”
