A traditional rules-based fraud system will not be capable of detecting synthetic identity fraud. A combination of supervised and unsupervised machine learning algorithms must be implemented to process the data necessary to effectively segment good and bad identities, says Steven D'Alfonso, research director at IDC Financial Insights.