Data and information management

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

The insurers that build for execution, rather than waiting for the next tool or the next shock, will be the ones still keeping pace when the systems around them strain.

Travelers made a major bet on AI when it committed to developing its own in-house large language model, TravelersLLM. CTO Mojgan Lefebvre discusses how the company determines the technology's success.

As data sources expand and risks become more dynamic, embeddings are influencing how insurers assess risks, segment portfolios and support underwriting and pricing decisions, writes writes Brian Keller, PhD, vice president of AI and data science for LexisNexis Risk Solutions.

Teams should revisit sourcing decisions continuously, rather than treat them as fixed multi-year commitments.

Insurance carriers have always relied on data to understand risk. What has changed dramatically, however, is how that data is used, writes Brian Keller, PhD, vice president of AI and data science for LexisNexis Risk Solutions.

Climate scientists can now quickly assess how much worse a given extreme-weather event has been made by human-caused climate change.

Fraud prevention is the foundation for trust at scale, shaping how confidently customers engage.

A survey of insurance leaders and other professionals finds that 29% of U.S. businesses experienced at least one AI-enabled cyber incident in the past year.

Genuine readiness in 2026 requires documented third-party access audits across broker and TPA relationships plus evidence that controls were verifiably in force.

Insurers will start relying on more advanced approaches to evaluating cyber risk, including continuous cyber risk monitoring.

Effective digitization eliminates manual data transcription while protecting the insurer's view of risk.

In many cases, the tools used in insurance are not fully autonomous agents that make decisions independently — and for good reason.

Consumers still see value in AI, but are wary of how it's used, according to a Smart Communications report.

Criminal groups are using AI to assist in their attacks, overcoming companies' technological defenses, according to Travelers' Q1 2026 Cyber Threat Report.

Cyber incidents, economic pressures and AI emerged as top concerns, according to a survey from The Insurance Information Institute (Triple-I) and Munich Re.

Celebrities trademark their own likenesses, calling attention to the commercial risks of deepfakes, and how insurers could write coverage.