KatRisk Partners with Property Guardian to Enhance Wildfire Intelligence in Perilfinder
Property Guardian has announced a new partnership with KatRisk that will integrate Property Guardian’s advanced wildfire risk intelligence into KatRisk’s Perilfinder platform through a new API-based collaboration. The announcement was made during RIMS RISKWORLD 2026, one of the leading global events focused on insurance, risk management, and catastrophe analytics.
The partnership is designed to provide insurers, underwriters, and risk professionals with a more comprehensive and actionable view of wildfire exposure by combining near-term wildfire intelligence with long-term catastrophe modeling capabilities.
As wildfire risks continue to intensify across many regions due to climate change, drought conditions, urban expansion, and changing weather patterns, insurance companies are increasingly seeking more advanced tools to evaluate both immediate and future wildfire threats. The collaboration between Property Guardian and KatRisk aims to address this growing demand by bringing together real-time predictive insights and probabilistic catastrophe modeling into a single integrated workflow.
Under the partnership, Property Guardian’s wildfire intelligence datasets will be embedded directly into KatRisk’s Perilfinder platform using API integration. This will allow users to access enhanced wildfire analytics without needing to switch between separate systems or platforms.
The combined solution is intended to help insurers better understand where wildfire risks are emerging, how fires may evolve in the near term, and how specific properties or portfolios may be affected over time.
Property Guardian’s datasets focus on near-term wildfire behavior, active fire monitoring, moratorium decision support, and property-level resilience analysis. KatRisk’s catastrophe modeling platform complements these capabilities by offering a long-term, stochastic view of wildfire risk through simulations of thousands of potential catastrophic events.
Together, the companies believe these combined tools will provide insurers with a more complete perspective on wildfire exposure, supporting both immediate underwriting decisions and long-term portfolio management strategies.
Martyn Sutton, General Manager at KatRisk, said insurers are increasingly being required to make risk decisions across multiple time horizons. According to Sutton, companies need tools that help them understand both current wildfire conditions and how those risks could evolve and accumulate over time.
He explained that the partnership bridges these perspectives by combining forward-looking wildfire intelligence with probabilistic catastrophe modeling. This integrated approach is designed to help insurers evaluate not only what wildfire risk looks like today, but also how it may develop in future seasons and impact larger portfolios.
As part of the integration, Perilfinder will include three major wildfire intelligence datasets developed by Property Guardian.
The first dataset, Wildfire Recurrence Scores, provides a predictive assessment of where wildfires are most likely to occur and how frequently they may return in the future.
The scoring system analyzes a wide range of variables, including historical wildfire activity, vegetation patterns, environmental conditions, and surrounding fire behavior. Using this information, the system identifies regions that face elevated near-term wildfire risk and potential severity levels.
This forward-looking analysis helps insurers prioritize areas that may require closer underwriting scrutiny, additional mitigation planning, or revised pricing strategies.
By identifying emerging wildfire hotspots before major events occur, insurers can potentially reduce exposure and improve risk selection processes.
The second dataset integrated into Perilfinder is Property Guardian’s Wildfire Moratorium Insights API, which introduces dynamic short-term wildfire intelligence powered by five-day fire spread forecasting models.
Traditional wildfire moratorium approaches often rely on static geographic buffer zones around active fires, which can sometimes result in overly broad underwriting restrictions. Property Guardian’s system instead uses predictive modeling to estimate how active fires are expected to spread in real time.
The technology can also identify areas where fires are effectively contained, allowing insurers to make more precise decisions about when and where to apply temporary underwriting moratoriums.
According to the companies, this approach reduces unnecessary restrictions while still maintaining underwriting discipline and protecting insurers from rapidly escalating wildfire exposure during active events.
The third key dataset being added to Perilfinder includes Wildfire Resiliency Scores and Mitigation Modifiers.
These tools provide highly detailed, property-level insights into how individual locations may perform during wildfire events. The analysis draws from more than 150 separate datasets, including aerial imagery, geospatial analytics, environmental data, construction characteristics, and wildfire hazard models.
The scoring evaluates wildfire resilience across several levels, including the structure itself, the surrounding parcel, nearby community characteristics, and broader regional wildfire conditions.
Additional mitigation modifiers provide insurers with deeper analytical inputs for catastrophe modeling and advanced risk assessment workflows. These factors can help companies better understand how mitigation efforts, building materials, defensible space, and community-level preparedness may influence wildfire outcomes and potential losses.
By combining these near-term and property-level insights with KatRisk’s catastrophe modeling capabilities, users of Perilfinder will be able to move more seamlessly between immediate wildfire monitoring and long-term portfolio risk analysis.
For example, insurers can identify where wildfire risk is increasing during a current season while also understanding how that exposure may affect portfolio-wide losses over multiple years under different catastrophe scenarios.
This integrated approach is becoming increasingly important as wildfire events grow more severe and financially damaging across many parts of the world, particularly in regions such as the western United States where insurers have faced mounting underwriting and reinsurance challenges.
Pat Blandford, Founder and Chief Executive Officer of Property Guardian, said wildfire risk requires multiple perspectives rather than relying on a single analytical approach.
According to Blandford, the partnership with KatRisk allows Property Guardian’s predictive wildfire intelligence to become part of a broader catastrophe modeling ecosystem that helps insurers connect short-term operational decisions with long-term financial impacts.
He noted that the collaboration creates a powerful combination of near-term decision support and long-term risk analysis, enabling insurers and risk professionals to better understand both immediate threats and future portfolio implications.
The companies believe the integration will ultimately help insurers make faster, more informed decisions related to underwriting, pricing, portfolio management, catastrophe planning, and reinsurance strategies.
The partnership also reflects KatRisk’s broader strategy of integrating advanced science, geospatial analytics, and predictive data into practical decision-making tools for the insurance industry.
As natural catastrophe risks continue evolving due to climate and environmental pressures, insurers are increasingly adopting more sophisticated data-driven approaches to evaluate exposure and improve resilience.
By combining Property Guardian’s real-time wildfire intelligence with KatRisk’s probabilistic catastrophe models, the enhanced Perilfinder platform is expected to provide users with a more actionable and comprehensive understanding of wildfire risk across both short-term operational and long-term strategic planning horizons.
Source Link:https://www.businesswire.com/
