Insurance data: Finding it, protecting it and the role of AI, Part 2

Originally published by Digital Insurance on March 29, 2026.

Digital Insurance published the second installment of a series examining how artificial intelligence is reshaping data utilization across the insurance sector. The article explores AI's role in processing information, detecting anomalies, and accelerating analytical workflows, while also addressing critical data protection concerns.

Several industry leaders contributed perspectives on AI's practical applications. Executives from Fenris and LexisNexis Risk Solutions highlighted AI's capacity to analyze massive datasets quickly, noting that processing times have dropped from overnight batch jobs to minutes. The technology excels at identifying patterns and flagging fraud indicators, though experts emphasized that AI amplifies existing signals rather than compensating for poor data quality. Carriers remain cautious about exposing pricing and risk data directly to AI systems.

Scot Barton, chief product officer at Carpe Data, observed that "insurers have been using marketing AI for years, and it's solid for simple queries but not for automated decisioning." He noted that while AI demonstrates impressive speed and scale for coding and summaries, insurers maintain strict controls around its use, particularly for decision-making functions where consistency remains a challenge.

The piece also examined data security as a top modernization concern, with 69% of IT leaders citing protection as a priority. Regulatory complexity across state jurisdictions complicates compliance efforts, especially as AI tools must navigate varying requirements. Industry leaders recommended simplifying technology environments and taking an offensive rather than defensive cybersecurity approach.

Read the full article at Digital Insurance.