need to know

  • Worldwide AI infrastructure spending is forecast to exceed $1 trillion by 2029.
  • Modern AI data centers can house hundreds of millions of dollars in hardware, making physical security business-critical.
  • As AI adoption grows, trust depends on the accuracy, reliability, transparency, and governance of AI-generated insights.
  • Hanwha Vision applies AI across its video security portfolio, delivering secure-by-design solutions with real-time threat detection and data-driven analytics.

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.

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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, physical security is evolving beyond traditional monitoring into an intelligent operational system capable of protecting assets while delivering actionable insights.

Elevating security through intelligent vision

Artificial intelligence is fundamentally changing the role of video security. Rather than simply recording events for later review, AI-enabled camera systems can be trained to detect risks in real time, generating alerts when suspicious activity is detected.

AI transforms video capture into an intelligent workflow that detects activity, assesses risk and supports faster decisions.

“Advanced analytics can automatically distinguish between meaningful events and false alarms, significantly improving the effectiveness of security systems and the responsiveness of security professionals,” explains Saks. For example, if a camera detects a slip-and-fall incident or unauthorized access, the system can immediately notify a manager, dispatch security personnel, or trigger emergency response procedures as appropriate.

Advances in edge AI and cloud‑based management have also made intelligent security systems easier to deploy and manage across multiple locations. Capabilities like these are transforming video security into a platform that supports not only physical protection but also operational efficiency and business continuity.

Video intelligence has also become a searchable source of operational data. Rather than manually reviewing hours of footage, operators can search video using natural language, analyze events through contextual understanding, and track people or objects across multiple cameras. By automating routine monitoring, reducing false alarms, and surfacing relevant information more quickly, these systems enable security teams to make faster, better-informed decisions.

Building trust in predictive security

As AI becomes more deeply embedded in physical infrastructure, trust will also depend on the accuracy, reliability, transparency, and governance of the insights the technology generates. Secure-by-design systems—which embed security, privacy, and governance throughout the entire product lifecycle—will play an increasingly important role alongside strong cybersecurity practices and transparent data management.

AI-powered detection is evolving as cameras become more intelligent, making secure-by-design systems an increasingly important part of cybersecurity.

“Organizations need assurance that security controls and privacy protections are continuously monitored and improved,” says Saks. To address privacy concerns, Hanwha’s video management system does not use customer data to train AI models. Sensitive video and operational data can remain on premises rather than being transmitted to the cloud, with the option to operate entirely offline when required.

Looking ahead, Saks expects intelligent infrastructure to become increasingly predictive rather than reactive. “The greatest value will come not from video data alone, but from the ability to combine video intelligence with operational, business, and external data to create a more complete picture of what’s happening and what is likely to happen next,” he says.

This evolution will expand the role of AI-powered video beyond security, generating business intelligence for day-to-day operations, from monitoring retail inventory and triggering replenishment alerts to identifying bottlenecks and optimizing inventory management in warehouses and distribution centers. To prepare for this future, organizations should build a strong data foundation and ensure their systems can integrate information from multiple sources, he adds.

As AI infrastructure continues to expand, physical security is evolving into a strategic source of operational intelligence. Organizations that integrate video insights with broader business data will be better positioned to make faster, more informed decisions in an increasingly complex operating environment.

Find out more about how Hanwha Vision is redefining security and moving from reactive response to proactive prevention here.