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Data Center News > Blog > Cloud Computing > Designing the Future of Data Center Physical Security
Cloud Computing

Designing the Future of Data Center Physical Security

Last updated: July 24, 2025 7:58 pm
Published July 24, 2025
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Designing the Future of Data Center Physical Security
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Bodily safety is the bedrock of any knowledge heart operation. Foundational facility protections embrace perimeter intrusion detection, video surveillance, superior AI analytics, digital entry management, and biometrics.

All trendy knowledge facilities implement complete safety frameworks, combining important monitoring and entry controls with a number of redundancy layers and sturdy fail-safe infrastructure to make sure uninterrupted operations and knowledge safety.

As knowledge facilities develop in dimension and criticality, conventional safety approaches wrestle to scale. This text explores how AI, biometrics, and built-in techniques are creating autonomous safety frameworks that may shield these important digital belongings whereas decreasing human intervention.

Securing the Perimeter: The First Line of Protection

“Knowledge facilities are the banks of the foreign money of the twenty first century, and that foreign money is knowledge,” Sean Farney, vp, knowledge heart technique, JLL informed DCN. “It must be guarded on a regular basis with completely different instruments and techniques.”

The bodily safety of knowledge facilities, from guards and gates to cameras and drones, is a part of a defense-in-depth technique.

“What has modified in recent times is the quantity of expertise that will help you make sure the viability of your perimeter, and the variety of cameras, the kinds of cameras, expertise which lets you see extra comprehensively – that has superior considerably,” Farney says.

Associated:Knowledge Heart Development Calls for Higher Bodily Safety Requirements

Alpesh Saraiya, senior director of worldwide knowledge heart advertising and marketing and development for Honeywell Constructing Automation, says it’s essential to spend money on techniques that undertake defense-in-depth structure, are adaptable and designed to scale with facility complexity and supply a centralized view of all knowledge for any knowledge heart.

“This may be particularly essential for bigger services or shared areas with completely different tenant entry wants,” he says.

Saraiya explains {that a} rising downside is a scarcity of high quality safety guard employees – a difficulty that’s occurring worldwide.

Additional, the rising dimension and footprint of knowledge facilities are creating an operational expenditure downside that requires superior analytics to tame the big safety guard headcount required, Saraiya stated.

As knowledge facilities develop in dimension and criticality, conventional safety approaches wrestle to scale. This text explores how AI, biometrics, and built-in techniques are creating autonomous safety frameworks that may shield these important digital belongings whereas decreasing human intervention.

AI-driven analytics can now distinguish between routine upkeep actions and potential safety threats, decreasing false alarms by over 70% in trendy knowledge heart environments. Picture: Alamy

AI, Analytics, and Biometrics

Associated:Knowledge Heart Catastrophe Restoration: Important Measures for Enterprise Continuity

Based on the Honeywell govt, rising applied sciences are “reshaping how knowledge facilities handle bodily safety.”

For instance, AI-enabled video analytics can detect anomalies in actual time, enabling quicker, extra proactive response to potential intrusions or suspicious conduct.

“AI-driven analytics may also assist successfully pull insights from historic knowledge to tell threat assessments, future mitigation methods and automatic response mechanisms,” he says.

See also  Growth Seen for UK Data Center Industry

Amy Dunton, Sulton Safety managing companion, stated AI and biometrics are basically reshaping how knowledge facilities handle bodily entry and perimeter safety, shifting organizations from reactive approaches to predictive fashions.

“We’re seeing AI surveillance enabling real-time menace detection, object monitoring, and behavioral evaluation,” she says. “This reduces each false alarms and the danger of human error.”

Biometric applied sciences – together with facial recognition, iris scanning, and palm vein authentication – are additionally turning into extra outstanding, particularly in high-risk or shared environments.

“Biometrics improve identification assurance in a approach that passwords and playing cards can’t,” Dunton says. “They supply the next degree of certainty about who’s accessing delicate areas.”

She notes these techniques more and more function inside built-in platforms that unify bodily and cyber domains.

Associated:How Contractors Are Adapting to Speed up Knowledge Heart Construct Schedules

“That convergence is essential,” Dunton says. “It improves situational consciousness and permits for quicker, better-coordinated responses.”

Moreover, AI-driven entry controls assist compliance efforts by routinely logging actions and producing audit-ready analytics.

“It’s a wiser, extra agile safety posture,” Dunton says. “It scales with the complexity of the ability.”

Knowledge Heart Safety Planning

Safety planning is closely formed by the placement of a knowledge heart and its proximity to essential utilities, connectivity, and supporting infrastructure.

“These elements can affect the reliability and resilience of knowledge facilities – which then in flip will shift safety and response protocols to make sure steady operations,” Saraiya says.

As well as, rurality, crime charge, and political stability of the area will all affect the robustness of safety structure and protocols required. 

“Our thirst for info just isn’t abating,” JLL’s Farney says. “We’re doubling the quantity of latest info created each 4 years. We’d like knowledge facilities to accommodate these items. And that is not going away.”

John Gallagher, vp at Viakoo, stated all trendy knowledge facilities embrace perimeter safety, entry management, video surveillance, and intrusion detection.

“The upper the tier degree, the upper are the results of bodily safety failures,” he explains.

A Tier 1 knowledge heart may tolerate a multi-hour disruption and nonetheless meet its service degree agreements (SLAs), the place a Tier 4 may solely have the ability to tolerate a couple of minutes earlier than failing to fulfill the SLA.

“Due to required redundancy at greater tier ranges there may be additionally the necessity for higher execution on bodily safety merely due to the price of the bodily belongings contained within the knowledge heart,” Gallagher says.

Data center security biometrics illustration

Biometric authentication techniques in Tier 4 knowledge facilities can course of over 10,000 identification verifications every day with 99.9% accuracy charges. Picture: Alamy

Vikesh Khanna, CTO and co-founder at Ambient.ai, agrees that trendy knowledge facilities require greater than partitions and guards, and demand clever layers of protection that scale with operational complexity.

See also  UK secures £6.3bn investment in critical data centres

“On the core, this consists of perimeter intrusion prevention, multi-factor entry controls, high-precision surveillance, and a real-time operational command layer,” he says.

He explains smaller or Tier 1–2 services usually default to guide oversight and inflexible, labor-driven playbooks, however that mannequin cracks underneath the burden of scale.

“Greater-tier or hyperscale knowledge facilities have begun shifting to agentic techniques – safety infrastructure able to ingesting huge volumes of video, entry, and sensor knowledge, and autonomously recognizing menace patterns,” Khanna says.

This isn’t nearly scaling workers or tech – it’s about changing reactive guardrails with clever agentic resolution engines optimized for bodily safety.

“Foundational components, constructed AI-first, will scale with these evolutions higher, and now’s essentially the most inexpensive time to start the transition,” Khanna says. “Amenities that fail to make that leap face rising prices, higher publicity, and extra frequent miss-and-respond cycles.”

Altering Modes of Entry

Gallagher notes all knowledge facilities have guests, whether or not for audit, upkeep, or to entry a colocation facility.

“The colocation facility ought to have a pre-approved checklist of who from their prospects can entry the ability,” he says.

To keep up bodily safety on the highest degree, many knowledge facilities would require all visits to be deliberate in order that escorts might be in place and card entry might be configured to limit entry.

“Use of automated strategies to make sure guests don’t go into unauthorized areas gives operational effectivity,” he provides.

Khanna argues the flood of uncooked knowledge from cameras, sensors, and entry techniques has made human-first monitoring out of date.

“What’s altering the sport is AI that doesn’t simply see, however understands,” he says.

Behavioral analytics can now flag intent – not simply presence, whereas AI techniques bridge the hole between detection and resolution.

By including context to sign, the choice bushes of conventional working procedures are trimmed into extra clever, and infrequently automated, workflows.

For instance, differentiating between a technician doing routine work vs. somebody scouting entry factors.

“Autonomous menace recognition means SOC operators aren’t scanning a whole lot of feeds – they’re targeted solely on validated, context-rich occasions,” Khanna says. “We’re witnessing the shift from guide triage to machine-led orchestration – from static SOPs to real-time, self-evolving techniques.”

Gallagher factors out that digital twins enable troubleshooting and efficiency enhancements of knowledge heart techniques with out requiring a bodily presence onsite or interplay with the manufacturing techniques.

“Not solely does this enhance bodily safety, but it surely can also result in a lot quicker downside decision and with the ability to repair issues remotely,” he says.

Different applied sciences, equivalent to LiDAR and robotics, are making bodily safety extra complete and environment friendly, particularly essential when seconds matter in detecting or responding to an incident.

See also  Data Center Colocation Market by Revenue, Present Scenario and Growth Prospects 2028 - Technology Today

Safety on the Edge

Saraiya says edge or different non-traditional knowledge facilities require extra modular safety frameworks which are scalable and pre-configured, enabling fast deployment with out sacrificing compliance.

Distant diagnostics, real-time video feeds, and safe wi-fi entry enable groups to watch and handle websites with out being bodily current.

“These capabilities be certain that even essentially the most distributed services adhere to centralized safety insurance policies, enabling enterprise-wide visibility, compliance and menace detection at scale,” Saraiya explains.

Safety practices for edge and modular deployments can have completely different wants from distant services.

“The mega-campuses being in-built distant places require extra deliberately developed safety techniques that construct on what many edge and modular deployments make the most of,” Dunton says.

She says distant monitoring and AI-driven analytics enable centralized oversight with minimizing on-site personnel, whereas compact, hardened enclosures with built-in entry management, surveillance, and environmental sensors

Emphasis can also be positioned on tamper detection, native alerting, and fast response escalation paths.

“Edge services usually align with frameworks like NIST or Zero Belief, guaranteeing safety is maintained even in bandwidth-constrained or unstaffed places,” Dunton says.

From her perspective, adaptability is essential – edge safety borrows from conventional greatest practices however have to be mild sufficient to deploy and handle at scale.

Understanding what every “edge” and “modular” software requires is essential in growing a stable foundation of design that may be modified, tailored and scaled. 

“One of many greatest elements of being profitable is the involvement and integration of safety from the very starting, throughout all disciplines,” Dunton says.

Gallagher explains that requirements our bodies such because the Telecommunications Trade Affiliation (TIA) have been updating their requirements, equivalent to TIA 942 for Knowledge Facilities, to deal with the distinctive wants of edge or modular deployments.

“The modifications to bodily safety are vital,” he says. “These services are sometimes unmanned and in non-traditional places – on poles, buried or underwater – and subsequently require a totally completely different method to who is permitted to entry them, how repairs are made, and the way they’re monitored and surveilled.

In some circumstances, the sting knowledge heart is housed in environments designed with some thought to bodily safety, equivalent to native telco “central workplaces,” making it simpler to replace, however even then, vital modifications to processes and strategies are required.

For instance, if a drone is used to entry and restore an edge knowledge heart, new strategies will should be developed to authenticate and monitor the drone operations.

“This can additional evolve as edge knowledge heart upkeep and replace strategies change,” Gallagher says.



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Contents
Securing the Perimeter: The First Line of ProtectionAI, Analytics, and BiometricsKnowledge Heart Safety PlanningAltering Modes of EntrySafety on the Edge
TAGGED: Center, data, Designing, Future, physical, security
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