Data and information management

The most common mistake is treating AI governance as a documentation exercise that happens after deployment, rather than a requirement built into the system from the start.

The enthusiasm around agentic AI in reserving isn't wrong but ahead of the infrastructure required.

Insurers serving the growing microbusiness market must understand how digital risks to this segment are evolving and adapt accordingly.

Cyber policies must keep pace with a surge in incidents fueled by AI, as well a growing trend toward account takeovers.

Incorporating climate risks into modeling and pricing can help insurers better anticipate and manage their potential health and financial impacts.

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.

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.

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.

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

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

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.

Only 24% of insurers consider themselves to have a leading edge on data management maturity.

Once an AI-generated answer causes a loss, the argument moves beyond whether the answer was wrong, writes Dr. Viroshan Naicker, co-founder and CEO of Refiant.

Insurtechs have a major opportunity to address the industry's lack of data transparency, according to Ashwin Agarwal. "Whoever builds that trusted, transparent pricing layer first sets the terms for the entire industry."

Cyber incidents raise key questions about coverage, particularly when it's a third party under attack, writes Deborah Dioguardi, EVP and Professional Lines National Practice Leader at Jencap.

The best place to start AI adoption is tasks where employees already describe them as repetitive, slow or unnecessarily difficult, writes Amy Carlisle, president of MSI.

One in four malicious breaches are AI-enabled and cost $6 million on average. Insurance companies are a top target, and also bear the cost of claims.

The rise in infostealer malware and increasingly sophisticated phishing campaigns is compounding the problem for insurers.

Connected systems can help consumers understand each stage of the life insurance journey and ensure a more seamless, less fragmented consumer experience.

Legacy infrastructure, data challenges, workflow integration issues, regulatory concerns and skill shortages remain key obstacles in 2026