Posted: Oct 23, 2019
The landscape of organizational fraud has evolved dramatically in recent years, with increasingly sophisticated schemes exploiting gaps in traditional compliance monitoring systems. Internal audit functions face unprecedented challenges in detecting and preventing fraud as organizations digitize operations and expand across global markets. Conventional audit methodologies, developed in an era of paper-based transactions and limited data availability, struggle to keep pace with the velocity and complexity of modern fraudulent activities. This research addresses this critical gap by introducing a novel computational framework that fundamentally reimagines how internal audit monitors compliance with anti-fraud policies and procedures.
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