When AI can make false evidence look real, insurers can struggle to know who to trust, writes Tom Rasmussen, vice president of product for claims at Carpe.

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

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

AI is making fraud more sophisticated and harder to detect.

Underwriting, risk models and policyholder support must evolve to reflect how identity data is used in modern fraud.

Half of insurers are using internally developed AI tools, and 65% are using tools from a vendor or other third party, Versik says.

The gap between AI ambition and IT reality isn't just a technology problem.

AI impersonation fraud and attempts involving deepfakes have surged by more than 2100% over the last three years.

Used correctly, AI can help insurers move faster, identify risk more accurately, and reduce costs without replacing human expertise.

As fraudulent claims evolve, so do the defenses against them. Here are four common fraud claims and how to combat them.

AI may be accelerating and scaling digital crime, but the same underlying technology is poised to advance cybersecurity intelligence and strengthen defenses.

When embedded within a case management framework, Agentic AI can detect subtle anomalies, highlight inconsistencies, and surface patterns traditional systems miss.

The average loss from the two categories is almost seven times higher than the mean amount for all other types, according to research from ALTA and Milliman.

A new report from Nordpass identifies the most commonly used personal and corporate passwords, and they're not that hard to figure out.

Sarah Thompson, head of cyber, North America, for MSIG USA, discusses the evolution of cyber insurance, managing third-party risks and more.

The role of tech for insurers looking to level up fraud detection.

A new report from Resilience highlights how ransomware claims are changing, the impact AI plays in these attacks and the role of vendor vulnerabilities.

Fraud detection and prevention have become key reasons for carriers to implement artificial intelligence.

Insurers under pressure to improve digital experience while also reducing fraud.