Many in the compliance space have been focused on the potential for technology to improve compliance program efficiency and effectiveness. In particular, there is significant potential for data analytics, machine learning algorithms and artificial intelligence to detect patterns of misbehavior across an organization. However, the most sophisticated pattern recognition systems remain limited by the silos, cognitive biases, staff turnover effects and information architecture problems that fragment institutional knowledge. In this guest article, Anurag Jain, a financial fraud investigator and certified fraud examiner at Van Dermyden Makus Law, who is also the CEO of EntityVector and RiskPulse AI, discusses why organizations must address these structural barriers before technology can unlock the full potential of their investigations. See “2024 in Review: Industry Sweeps and Data Analytics to Find Cases” (Jan. 29, 2025).