The use of identity theft in insurance crime is expected to rise by 49 percent by the end of 2025, according to the National Insurance Crime Bureau (NICB). The NICB is currently piloting a machine-learning tool to flag questionable identities using anomalous identifier patterns and data aggregators to detect inconsistencies such as multiple dates of birth linked to a single social security number. Once flagged, investigators can intercept claims that may include a related identity theft.