Credits: None available.
• Examining how stolen personal identifying information such as children’s Social Security numbers support digital creation of non-existent “real” persons
• Reviewing cases to review how synthetic identities generate credit histories and defraud financial institutions through bogus loans and credit “bust out” schemes
• Employing innovations such as AI/machine learning to detect and investigate synthetic identity red flags such as aberrant credit history gaps and charge-off patterns
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