Covering the Insurance Gap: Using Demographics to Protect Against Cyber and Climate Threats

March 23, 2026 By

The insurance industry is navigating significant shifts in risk exposure for their customers. According to EY’s 2025 Global Insurance Outlook, there are substantial gaps in protection against two major emerging threats: cyber attacks and climate-related disasters. Currently, 99% of losses from cyberattacks and 60% from natural disasters remain uninsured.

These protection gaps represent both a market need and a business opportunity for insurance companies. Businesses and individuals need protection against cyber and climate risks, but existing products often fall short. The challenge for insurers is creating coverage that keeps pace with threats that change faster than traditional actuarial models can track. Understanding where the risks are concentrated, who faces the greatest exposure, and how to develop relevant coverage requires a different approach to data and risk assessment. Insurers can use demographic data as a foundation for meeting this challenge.

The Data Foundation for Modern Risk Assessment

Traditional insurance risk models were built for a different world. They struggle to account for the rapidly changing nature of cyber threats and climate risks. Insurance companies need to fundamentally shift how they think about risk assessment. EY identifies strategically incorporating richer data and fully modernized technology as one critical step to address these protection gaps.

Take cyber risk as an example. A business located in a rural area with an aging population might seem low-risk, at first glance. But if that area is becoming a tech hub and attracting younger residents and remote workers, the cyber risk profile changes dramatically. With climate risk, dynamically-changing weather patterns and population migrations shift risk profiles faster than companies can adjust, as over 40% of the world’s population lives in high-risk areas today.

Internal data tells you about existing customers and their claims history, while external demographic data reveals the broader patterns that will shape future risks. Together, they create a more complete picture that enables you to develop insurance products that work better for the threats people face today.

How to Combine Internal and External Data for the Right Insights

The most effective approach to closing protection gaps for cyber attacks and climate change combines internal operational data with externally-sourced demographic intelligence. Your data provides information about current policies, claims patterns, and customer behavior. Demographic data from sources like EASI reveals the underlying population trends, economic patterns, and geographic factors that drive risk.

Combining these data sources provides several advantages:

Understanding Geographic Risk Concentration

When you know the demographic composition of a specific location, including age distribution, income levels, employment sectors, and housing types, you can better assess both cyber and climate vulnerability. A neighborhood with a high concentration of small businesses working in technology fields faces different cyber risks than one dominated by traditional retail or manufacturing. Similarly, areas with older housing stock and lower-income residents face different climate-related risks than newly developed suburbs.

Identifying Underserved Markets

Demographic data helps you spot populations that need coverage but may have been overlooked. Perhaps a growing community of gig or remote workers need cyber liability protection in one area, while coastal area residents might seek more comprehensive flood coverage than traditional policies provide. By analyzing demographic trends alongside internal data, you can identify these opportunities and develop tailored products that meet real needs.

Pricing Products Accurately

Strengthening climate protections requires that insurance companies rethink their traditional approaches to risk management, pricing and claims modeling. Demographic data provides the granularity needed to do this. Instead of broad assumptions about risk or outdated models, you can base pricing on actual population characteristics, local economic conditions, and specific geographic vulnerabilities.

Developing Robust Coverages and Prevention Services

Filling the protection gap for cyber attacks and climate change risks requires more than just offering broad coverage policies. It means creating comprehensive solutions that include both coverage and prevention. Demographic intelligence supports both aspects.

For cyber threats, understanding the demographics of your customer base helps you design appropriate prevention services. Policies for manufacturing firms should be different from ones for healthcare providers. The age and tech literacy levels in different population groups should inform the type of education and tools you provide. This information should inform coverage options, support options, and pricing as you develop relevant solutions.

For climate threats, demographic data helps identify which prevention measures will have the greatest impact. An area with an aging population might benefit most from emergency response planning and evacuation assistance. A community of young families might prioritize home hardening measures and property protection services.

Taking Action on the Protection Gap

The protection gaps in cyber and climate insurance represent one of the largest opportunities in the industry right now. Success in this space requires moving beyond traditional approaches. While many insurers are covering the gaps with broad implementation of parametric insurance policies, these represent an interim solution rather than comprehensive cyber attack and climate change coverage. 

The insurers who will lead in closing these protection gaps will be those who invest now in the data infrastructure and analytical capabilities needed to understand and respond to evolving risks. Insurers using data that goes deeper than basic census information and age groups will spot emerging threats before they become major claims events. They’ll gain insights into local economic trends, population movement patterns, industry concentrations, and emerging vulnerabilities to create robust coverage for individuals and companies. Most importantly, they’ll combine this external intelligence with their internal data to create products that are actuarially sound and realistically protective for their customers.

Ready to Close the Gap?

The cyber and climate protection gaps in the insurance industry won’t close on their own. They require intentional action, better data, and innovative product development. The good news is that the tools and data you need to address these gaps are available now.

Contact EASI today to learn how our demographic data can help you develop more accurate risk models, identify underserved markets, and create the cyber and climate protection products that customers urgently need. Let’s turn the protection gap into your competitive advantage.