The conventional fail-safes for detecting fraudulent accounts are rarely effective when it comes to synthetic identity fraud. Real people won’t see activity on synthetic identity accounts created with their Social Security numbers because there aren’t any matching names or addresses to raise any red flags. If a bank’s security department calls with questions about suspicious activity, the fraudster will simply say the transactions are legitimate. So how can financial institutions and other lenders affordably mitigate the risks of synthetic identity fraud without encumbering legitimate customers with unnecessary checks and manual reviews?
Join us for a live educational webinar where our panel will discuss:
- How organized criminal rings create and nurture synthetic identities
- Why synthetic identities are so difficult to detect and fraud losses are understated
- Future growth projections in the use of synthetic identities
- Best practices in identity verification techniques that utilize multi-dimensional data
- How artificial intelligence and machine-learning algorithms can help discover identity discrepancies and suspicious behavior patterns
Register today for this live webinar with Aite Group senior analyst Shirley Inscoe and Equifax identity, fraud & compliance product line leader Mike Urban on May 23, 2019 at 2 PM ET/11 AM PT.
Shirley Inscoe is a senior analyst on Aite Group’s Fraud & AML practice, covering fraud and data security issues.
Ms. Inscoe brings to Aite Group 30 years of banking experience in enterprise fraud and payments issues. She has served as the chair of the BITS Fraud Reduction Steering Committee and the co-chair of Early Warning Services’ Advisory Committee, and has been a member of ABA’s Deposit Account Fraud and Payment Systems Committees.