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- Highlight AnomaliesAnomaly detection is the most common method used to identify fraud. An anomaly, or a data point that does not conform to the overall data set, is not necessarily evidence of fraud, but it’s definitely a good place for investigators to start. Data points may be anomalous because of a suspicious frequency, location, timing, or more. For example, the Treasury Inspector General for Tax Administration (TIGTA) discovered that the IRS had sent $46,378,040 in 23,994 tax refunds to “unauthorized” alien workers at a single address in Atlanta, Georgia. That location-based anomaly ultimately led TIGTA to call for an overhaul of the Individual Taxpayer Identification Number Program.
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