Thursday, August 27, 2026
9:30 a.m. to 10:30 a.m.
Organizations often believe effective fraud detection requires new software, advanced tools, or large budgets. In reality, many fraud risks can be identified using data and systems that already exist within the organization. This session will demonstrate practical, data-driven approaches to identifying fraud red flags across money movement, expense activity, and lending processes.
Presenters will combine a high-level overview of common fraud schemes with hands-on examples of data methodologies that can be used to audit and detect potential issues. Attendees will see how specific data fields, calculations, and analytical techniques can be applied to surface unusual patterns and transactions, and will learn how to assess and investigate identified red flags. The session is designed to provide actionable techniques participants can take back and implement immediately using common data and tools.
LEARNING OUTCOMES:
