In a recent article published by The Insurance Lead, \u201cClosing the protection gap: how Faura tackles insurance\u2019s $350 billion natural disaster problem,\u201d the publication highlights Faura\u2019s attempt to reframe how catastrophe risk is assessed and priced.<\/p>\n
Instead of relying solely on hazard likelihood, Faura emphasizes a property\u2019s resilience \u2014 how well it can withstand an event if one occurs. This perspective sheds light not only on Faura\u2019s model, but also on the deeper structural and operational forces widening the protection gap across the industry.<\/p>\n
Natural disasters are increasing in both frequency and severity, and insured losses increasingly fail to keep pace with economic losses. This widening gap has real consequences: homeowners and businesses face unaffordable premiums, carriers retreat from certain markets, and local economies experience slower recovery after destructive events. Insurance leaders \u2014 particularly those working in catastrophe-exposed regions, property underwriting, MGAs writing specialty property, and public-sector-adjacent programs \u2014 will find Faura\u2019s reframing especially timely.<\/p>\n
The industry\u2019s long-standing reliance on traditional CAT models, built around hazard frequency and severity, is reaching its limits. These models assume historical patterns will continue, but climate variability is changing hazard profiles faster than many legacy underwriting frameworks can adapt. Properties in once-stable areas now face new risks; properties historically viewed as high-risk may in reality be far more resilient than their region-level hazard scores suggest. As a result, risk is sometimes mispriced, misclassified, or rejected altogether \u2014 contributing to premium volatility and coverage inaccessibility.<\/p>\n
Faura\u2019s approach aims to address these shortcomings by shifting the underwriting lens from \u201cHow likely is a disaster to strike here?\u201d to \u201cHow will this specific property perform if it does?\u201d That distinction is profound. Resilience-based underwriting evaluates micro-level property characteristics \u2014 structure, materials, design choices, maintenance, mitigation features, and surrounding environment \u2014 to determine survivability. Where traditional models paint with broad strokes, this method gives insurers a more granular and defensible view of risk.<\/p>\n
This matters because many carriers are held back not by lack of interest in innovation but by data limitations, technical debt, and systemic constraints<\/strong> that make it difficult to experiment with new methodologies. CAT models integrated into legacy systems often rely on outdated assumptions and incomplete property-level inputs. Underwriting workflows depend on data sources that vary widely in quality and consistency. And technology stacks built over decades struggle to incorporate new data types or support increasingly localized pricing logic. Even when leaders want to modernize their risk frameworks, the operational lift can be prohibitive.<\/p>\n Faura\u2019s model highlights an emerging path forward: innovation through precision rather than complexity. By focusing on a property\u2019s inherent resilience \u2014 and using structured, verifiable data to support that evaluation \u2014 insurers can underwrite with greater accuracy without overhauling their entire modeling ecosystem at once. This is particularly relevant as more properties land in the \u201cuninsurable\u201d category under traditional methods, even though their actual survivability may justify coverage.<\/p>\n The shift also creates opportunity for product development, distribution, and customer engagement. Resilience-based underwriting may allow insurers to offer coverage in regions they previously exited, price more accurately, or differentiate themselves with transparency and fairness. Property owners, for their part, gain insight into what mitigation improvements matter most \u2014 and how those investments translate into insurability. For agents and MGAs, this opens the door to more consultative conversations with clients navigating volatile markets.<\/p>\n Leadership teams should consider several practical steps. First, evaluate where traditional CAT models may be misaligning with real-world outcomes. Are there regions where hazard scores exaggerate or understate exposure? Are there categories of properties currently priced out of the market that warrant reevaluation? Second, assess data needs. Resilience-based underwriting requires structured, property-level details that many carriers currently lack. Investing in data infrastructure \u2014 or partnering with entities that can supply verified property attributes \u2014 can materially improve underwriting precision. Third, pilot programs can help test survivability-oriented models without requiring full-scale platform changes. Starting with specific segments or territories reduces risk and builds institutional learning. Finally, communication strategy matters: helping customers understand how resilience influences pricing can strengthen trust and reinforce the value of proper mitigation.<\/p>\n A brief excerpt from The Insurance Lead<\/em> captures the urgency behind Faura\u2019s mission: \u201cThe protection gap is not just a market inefficiency \u2014 it\u2019s a risk to economic stability. Addressing it requires rethinking not just how we model hazards, but how we understand the resilience of the assets we insure.\u201d<\/p>\n This perspective aligns with the challenges ReSource Pro sees across carriers, MGAs, and agencies adopting modern underwriting frameworks. Closing the protection gap isn\u2019t simply about offering more coverage \u2014 it\u2019s about refining the foundation on which coverage decisions are made. As climate risk accelerates, the industry\u2019s ability to evaluate exposure with nuance will determine not only profitability but relevance.<\/p>\n From ReSource Pro\u2019s vantage point, Faura\u2019s model emphasizes a broader truth: insurance innovation succeeds when data quality, operational feasibility, and market need intersect. Survivability-based underwriting represents a practical bridge between climate-adaptive risk modeling and the technological realities insurers face today. For organizations working to modernize while managing legacy constraints, this approach may unlock new markets, strengthen pricing integrity, and reduce volatility for customers and communities.<\/p>\n As natural disasters become more disruptive, the need for accurate, accessible coverage will only grow. Insurers that evolve their underwriting models \u2014 and ground them in defensible, property-level resilience data \u2014 will be better positioned to support policyholders and close the protection gap meaningfully.<\/p>\nWhat leaders can do next to modernize underwriting with resilience in mind<\/h3>\n
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