Models

Frequency Risk Is Driving Catastrophe Losses and Models Are Struggling to Keep Up

New data show that frequent, non-peak perils are now driving insured catastrophe losses, exposing growing limits in how risk is modeled and priced.

Washington Targets Wildfire Risk Models as Insurance Availability Tightens

US Opens “Security Review” of AI Agents as Risk Moves Beyond Models

Planned “Billion-Dollar” Loss Update Signals The Frequency Challenge for Risk Markets

California Launches First-of-Its-Kind AI Catastrophic Risk Disclosure Regime

California has begun enforcing its landmark AI safety law, requiring developers of the most powerful models to publicly disclose how they identify and manage catastrophic risks ranging from mass harm to loss of human control.

Research Argues More Hurricane Models Means Higher Premiums

Texas Sues Xcel Over Panhandle Wildfires, Argues Modeling Flagged Risk Prior to Disaster

California Warns Landslide Modeling Still Urgently Needed

California says even as its wildfire aid request shrinks, federal funding for landslide hazard mapping and modeling remains critical to preventing further losses across Los Angeles County.

Verisk Says Physics-Based AI Models Signal New Era for Extreme Event Risk

Anthropic’s Latest Update Edges Closer to Catastrophic AI Risk Thresholds

Claude Opus 4.5’s increased ability to assist in biological threat creation signals a sharper inflection point in frontier-AI risk.

GIC Re Confronts Dual Modeling Challenges: Post-COVID Mortality Shifts and Secondary Peril Volatility