identity fraud prevention and detection
Effective Identity Fraud Prevention and Detection with Machine Learning
Carmel Maher, Senior Product Marketing Manager for ID Analytics presented alongside Deshietha Partee-Grier, AVP Financial Crime Investigations Unit and Sandeep Dhadda, Director, Head of Advanced Analytics for CitiGroup bring the audience to a road beyond the basics of Synthetic Identity Fraud and as they delve into the depth-analysis of mitigating the risks of fraudulent activities through various anti-fraud measures. The prevalence of fraud in the marketplace has remained to be one of the most challenging threats that most businesses face nowadays. Thus, urging companies to stay ahead of the latest fraud-detection measures and technologies to prevent the proliferation of such activities. Among the most pervasive types of identity fraud is Synthetic Identity Fraud which may have accounted for 5% of uncollected debt and up to 20% of credit losses in the past years. Concurrent with the evolving sophisticated fraud tactics, it becomes more important for businesses and organizations to keep themselves abreast of the various strategies and Anti-Fraud measures that will help diminish and significantly slow down the proliferation of Synthetic Identity Fraud cases.
- Law Enforcement & Public Safety > Fraud (1.00)
- Information Technology > Security & Privacy (1.00)