Verisk Maps Risk for Over 2,500 U.S. Data Centers: How Geospatial Intelligence Is Reshaping Enterprise Security Resilience?

On September 4, 2026, Verisk announced in Boston that it had completed risk analysis mapping of more than 2,500 data centers across the United States. For enterprise security executives and infrastructure decision-makers, this is not just a product expansion by a data services provider, but a signal: as the boundary between the digital and physical worlds becomes increasingly blurred, data center risk is no longer just an entry in a “disaster recovery document,” but a strategic variable that can be quantified, visualized, and even priced in advance.

Event Overview

• Date: September 4, 2026
• Location: Boston, United States
• Organization: Verisk Analytics
• Fact: According to a press release issued by Verisk, the company has completed a risk analysis map covering more than 2,500 data centers across the United States for risk analysis purposes. The press release also noted that Verisk is a leading strategic data analytics and technology partner.
• Background: Verisk has long provided data analytics and risk modeling services to insurance, financial, and government institutions. This risk mapping effort targeting data centers—critical infrastructure—is a natural extension of its business.

It should be emphasized that, as of the time of this writing, Verisk has not yet disclosed the specific risk factors covered by the map, its update frequency, or data granularity. However, based on mainstream practices in the risk management industry, such maps typically integrate geographic information, natural disaster models, power grid reliability data, and regional public infrastructure status to provide data center owners, tenants, and third parties that depend on these facilities with a unified risk view.

Technology and Risk Analysis

Data centers face risks far beyond cyberattacks. Floods, hurricanes, wildfires, extreme heat, power outages, and even supply chain disruptions caused by geopolitical tensions can render a normally operating data center unavailable within minutes.

Traditionally, enterprise security teams have focused more on vulnerabilities in servers, networks, and identity systems, while facilities teams have focused more on power, cooling, and building systems. This disconnect is especially dangerous in an era when cloud computing and colocation data centers have become widespread—companies deploy their applications in someone else’s data center, yet often lack a comparably detailed understanding of the physical risks facing that data center.

Whether Verisk’s mapping work can solve all these problems remains to be seen, but it reflects a clear trend: physical risks are being abstracted into data models and linked to enterprises’ risk tolerance. From an analytical perspective, the physical and cyber risks of data centers do not exist in isolation. A power outage caused by a natural disaster can make multi-tenant cloud services unavailable simultaneously, while cyberattacks may also target data centers in specific regions for sabotage or denial of service. Therefore, a risk map that integrates geospatial intelligence can help companies answer not only “Where is my data?” but also “What would happen to my business if a disaster occurs in that region?”In addition, the value of the risk map is also reflected in supply chain risk transmission. Modern enterprise IT systems increasingly rely on third-party data centers, cloud regions, and content delivery networks. If a critical node is located in a flood-prone area or seismic zone, the resilience of the enterprise supply chain may develop structural weaknesses. Such weaknesses are hard to detect under normal circumstances, but when extreme events occur, they can become the trigger for business interruption.

Enterprise Impact Analysis

For CISOs and enterprise risk management teams, the release of Verisk's Data Center Risk Map has implications on at least four levels:

1. Operational Risk Enterprises need to re-examine their infrastructure layout. If business systems are concentrated in a single risk area, even with strong network protection in that area, business continuity cannot be guaranteed in the event of a natural disaster or regional power supply incident. The risk map can serve as a reference for capacity expansion, migration, and disaster recovery site selection.

2. Financial and Insurance Risk The physical risk of data centers is affecting insurance premiums and underwriting conditions. When enterprises purchase cyber insurance and property insurance, whether they have a clear view of infrastructure risk can directly affect premium levels. Enterprises with data-driven risk management capabilities often have greater bargaining power in insurance negotiations.

3. Compliance and Audit Risk Multiple industry regulatory frameworks around the world impose clear requirements for business continuity, such as business impact analysis for financial institutions and resilience standards for critical infrastructure. Traditionally, corporate compliance departments rely on static questionnaires and expert judgment; with updatable risk maps, audit processes can become more dynamic and verifiable, thereby reducing regulatory uncertainty.

4. Brand and Customer Trust Risk In the event of a prolonged data center outage, even if the responsibility lies with a third party, the brand damage facing business customers is still borne by the service provider. Publicizing "we chose low-risk areas" may become a differentiated selling point for customers and investors, but only if enterprises can prove that they truly understand these risks.

Industry Trend Observations

Verisk's release this time is not an isolated event. Over the past few years, an increasing number of commercial intelligence products based on geospatial data have emerged in the market, covering key areas such as power infrastructure, communication hubs, and port logistics. Data center mapping is only a microcosm of this booming market.

• Behind this phenomenon are four driving forces:- Data democratization: Satellite remote sensing, government open data, and sensor networks have made geospatial data that was once expensive readily accessible.
• AI and automation: Machine learning algorithms can correlate historical disaster records, real-time meteorological data, and infrastructure loads more quickly to predict the business impact of extreme events.
• Increased cloud concentration: The centralization of hyperscale data centers means the scale of users affected by a disruption at a single geographic location grows exponentially, driving demand for regional dispersion strategies and local disaster recovery.
• Application of insurtech: Insurers are more willing to replace coarse geographic zoning with refined risk models for pricing, forcing enterprise users to provide more accurate data.

Therefore, CISOs should recognize that the boundaries of the security function are expanding. Cybersecurity is no longer just firewalls and SIEM alerts; it also involves climate resilience, geopolitics, and third-party physical supply chains. In the future, security teams may collaborate more closely with roles such as facility management, corporate real estate, and insurance brokers to build organization-wide resilience architectures.

Defense and Response Recommendations

In response to the trend of data-driven quantification of data center physical risks, enterprises can take action at the following levels:

• Enterprise Level
• Establish an "application-dependency-infrastructure" mapping inventory to identify the data centers that critical business depends on and the risks around them.
• Incorporate geographic and climate risks into the enterprise's annual risk appetite statement, clearly defining the acceptable maximum downtime.
• Implement cross-regional redundant deployment for core business systems to avoid "putting all eggs in one basket."

• Technical Level
• Subscribe to external risk intelligence services (such as disaster warnings and power grid load) and push them to the SOC or IT operations platform.
• Use SIEM/XDR platforms to collect alerts from monitoring and data sources, correlate them with external weather and geographic events, and trigger emergency response.
• Review contract terms for third-party data centers and cloud providers to ensure that service providers can offer physical risk mitigation measures.

• Management Level
• Add a "physical risk score" item to the Business Impact Analysis (BIA) to comprehensively measure the vulnerability of suppliers' locations.
• Regularly invite geographic information system professionals and insurance brokers to participate in security audits, using risk maps as a common language for cross-departmental communication.
• Establish a supplier-tiered assessment mechanism, developing backup and switchover strategies for key suppliers located in high-risk areas.

SecurityPost Insight

From a security media perspective, the Verisk mapping news itself contains no vulnerability or attack technique, but it reflects a deeper change: enterprise security is moving from "defending against hacking" to "managing all risks that could cause downtime." The maturation of data center physical risk maps means that CISOs have, for the first time, the opportunity to manage hurricanes, power outages, and supply chain disruptions with data as precise as that used for cyberattacks.This event also reminds us that physical and digital network technologies are both part of "resilient infrastructure." If enterprise security leaders focus only on malicious threats while ignoring natural and structural risks, they may still find themselves in the awkward position of "all defenses executed well, yet the entire site taken offline by a flood."

In the coming year, we expect more cross-industry data products to integrate physical assets, operational dependencies, and geospatial intelligence into security platforms. Security teams need to build data processes and analytical skills in advance for this convergence. True security is not about hardening every endpoint, but about understanding the real world in which each endpoint resides.

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Reference source: Verisk Maps More Than 2,500 US Data Centers for Risk Analysis