Casting a Wider Net: Expanding Internal Audit's Scope
This article from Internal Auditor magazine discusses the evolving role of internal audit, emphasizing the need for a broader perspective beyond traditional financial controls. It suggests that internal auditors should expand their focus to include emerging risks and strategic objectives to provide more comprehensive value to their organizations.
Emily Primeaux’s “Casting a Wider Net” explores how artificial intelligence is transforming fraud detection and internal auditing. The story centers on a real case where AI uncovered a money-laundering scheme by spotting a recurring deposit pattern that human investigators missed, illustrating how machine learning reveals hidden connections across massive datasets. Experts like Steve Lenderman, Alisanne Allen, Clay Montgomery, and James Ruotolo explain that AI now enables auditors to analyze entire data populations, identify anomalies in transactions or employee behavior, and detect risks faster than ever before. Yet, they warn that poor data quality, unclear objectives, and overreliance on technology can derail efforts. While AI makes fraud more sophisticated, it equally empowers auditors—so those who integrate it thoughtfully will stay ahead, while those slow to adapt risk falling behind in a rapidly evolving regulatory and digital landscape.
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