Warning lights

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      <subfield code="a">The document explains that UK motor insurance is heavily affected by fraudulent claims and outlines actuarial and data-science methods to combat them. It distinguishes opportunistic and organized fraud and highlights tools such as automation, metadata extraction, machine-learning models, and especially graph-based techniques for detecting links between fraudulent entities. It also notes challenges related to data quality and entity resolution, emphasizing the usefulness of these approaches for early fraud detection in motor insurance</subfield>
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      <subfield code="g">02/02/2026 Number 7 - February 2026 , p. 54 - 57</subfield>
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