Large corporations generate more than $7 billion in global market premium, and AI fueling more cyber incidents, many remain underinsured, according to the latest Swiss Re report.

With the right foundation, insurers can more fully embrace AI and realize the benefits it brings, writes Kevin Gaut, CTO of Instanda.

AI models are now reliable enough to automate most decisions that define performance in insurance, writes Taktile CEO Maik Taro Wehmeyer.

BEC claims were 57% higher in the first half of 2026 compared with the same period last year, and fraudsters are increasingly focused on account takeovers, according to the Travelers' Q2 2026 Cyber Threat Report.

Companies like MSI, AGI and VIPR are finding that the best way to benefit from AI is to keep a tight grip on the data that they feed into those tools.

David Tobias, chief product officer at Nearmap, shared insights with Digital Insurance around how aerial imagery is used by insurers to better understand the impact of natural disasters.

Real improvement in managing uncertainty from a risk perspective won't come from better technology alone.

Evident, a data platform, issued its second annual survey of insurers' AI efforts, showing some insurers ranking much higher than last year.

Pablo Palafox, CEO and co-founder at HappyRobot, shares a common mistake insurtechs make is leading with technology instead of the customers' problem.

Independent agents want increased AI usage and automation to address pain points, according to Ivans' latest report.

Human oversight would still be needed, especially for underwriting, industry experts say. Yet linking voice recognition with AI engines will put insurance agents jobs at risk, they add.

To find the most success with AI, insurance companies should view it more as a way to fundamentally rework processes, according to the experts who write for InsureThink.

Andrew Engler, CEO and co-founder of the insurtech, shared that if a property owner is willing to invest in reducing the possibility of a catastrophic loss, it should translate into insurance value.

The broker experience is determined not by how quickly a risk can be submitted, but by how efficiently and confidently a carrier evaluates it.

Andrew Dalton, chief product officer, spoke about the challenges and risks presented by property data and how the MGA is using AI technology.

Insurance expert Kenneth Saldanha says workflow and volume solutions are startups' biggest focus.

Insurance needs to stop treating its shrinking pool of checks as business as usual, especially when the data needed to manage the risk inside that pool already exists inside most carriers' own systems, writes Shareen Minor, chief revenue officer, U.S., at Vitesse.

VIPR created an insurance native platform, built for insurance data: AI-enabled technology solutions for the delegated authority and program business insurance markets.

Investors are committing almost 10 times as much as they were three years ago, but they are also setting higher standards for efficiency and profitability.