AI & Machine Learning

Insurance is scaling into cyber, climate and AI risks faster than the first principles of insurability can adapt.

AI-driven discovery of software vulnerabilities at machine speed challenges cyber underwriting models designed for environments where threats evolved gradually.

In claims, AI explainability has evolved from a technical concern to a business imperative for governance, compliance, and trust.

Tesla's driverless Cybercab signals an industry shift that commercial auto insurers have not seriously prepared to address.

As AI shifts to autonomous decision-making across insurance, traditional governance cannot identify or control the resulting systemic risks.

As AI shifts from advisory tool to autonomous decision-maker, insurers face new risk categories that traditional frameworks weren't designed to address.

Agentic commerce is transforming financial services as AI agents evaluate products. Institutions must now compete for algorithmic visibility.

The most dangerous AI failures occur when institutions trust systems completely while they quietly produce wrong outcomes.