SAS and Swiss Re Collaborate to Enhance Risk Management for Insurers

SAS and Swiss Re Join Forces to Transform Insurance Risk Management

In a significant move set to reshape the insurance landscape, SAS, a leading figure in data analytics and AI, has announced a partnership with Swiss Re, one of the world’s foremost reinsurance companies. This collaboration aims to bolster the resilience of insurers in an increasingly volatile market characterized by severe weather events and catastrophe risks.

The Growing Challenge of Secondary Perils

The partnership underscores an urgent need for insurers to adapt their risk assessment strategies. With an alarming frequency of climate-driven secondary perils—such as floods, hailstorms, and wildfires—insurers are pressured to harness innovative solutions that go beyond merely analyzing historical loss data. According to the Swiss Re Institute, nearly all insured catastrophe losses in the U.S. in 2025 were linked to these secondary peril events, indicating a critical need for a thorough understanding and management of such risks.

Integrating Data and AI for Enhanced Decision-Making

At the heart of this partnership is a robust integration of Swiss Re’s CatNet® natural catastrophe risk intelligence and SAS® Insurance Life Cycle Accelerator. This synergy enables insurers to seamlessly incorporate predictive hazard insights directly into their underwriting, pricing, and portfolio management processes. By utilizing advanced AI capabilities and actuarial modeling, insurers can make faster, more informed decisions.

Key Benefits of the Partnership

1. Powerful Data Integration: Users can access high-resolution catastrophe data within existing SAS workflows through secure APIs. This integration eliminates manual data manipulation, allowing for more efficient operations.
2. Automated Decision-Making: Utilizing machine learning, this collaboration offers real-time model scoring that incorporates current hazard information, streamlining pricing and underwriting processes.
3. Enhanced Risk Assessment: Insurers will gain a more nuanced understanding of concentration risk and will be able to perform detailed