Synthetic Identity Fraud Exposes U.S. Lenders to Record $3.3 Billion in Annual Losses

Strategic Insights -

TransUnion's research highlights the increasing threat of synthetic identity fraud, with key traits and behavioral characteristics found in public data playing a critical role in identifying these deceptive identities. The trend points to the urgent need for financial institutions to harness all available data to detect and prevent synthetic identity fraud at the point of account creation. Synthetic identities are carefully constructed using a blend of authentic and fabricated information, often incorporating stolen Social Security numbers, fictitious names, digital contact details, and behavioral patterns that mimic legitimate consumer activity.

Key Takeaways:

  • Synthetic identity fraud exposes U.S. lenders to a record $3.3 billion in annual losses, with the number of newly opened accounts linked to synthetic identities at an all-time high.
  • Key traits and behavioral characteristics found in public data can play a critical role in identifying synthetic identities, with the presence of living characteristics such as vehicle ownership, voter registration, or familial connections not being a definitive solution to detecting synthetic identities.
  • No known relatives and no motor vehicle registrations occur in 30-50% of all synthetic identities, increasing the likelihood of being synthetic by up to 7x vs. legitimate identities.
  • Other top characteristics that raise red flags include missing voter and vehicle registrations or having no record of property ownership on file, with every synthetic identity analyzed showing no open bankruptcies.
  • TransUnion's Synthetic Fraud Model is designed to proactively identify a wide range of public data indicators, along with numerous other risk factors, to help uncover synthetic identities before they can cause financial harm.
  • The model enables organizations to take preventive action with greater confidence and precision, streamlining their processes while improving fraud detection rates.

Statistics:

  • U.S. lenders face more than $3.3 billion in exposure for the year ending 2024 due to synthetic identity fraud.
  • 30-50% of all synthetic identities lack known relatives and motor vehicle registrations.
  • Synthetic identity fraud increases the likelihood of being synthetic by up to 7x vs. legitimate identities.
  • No open bankruptcies are found in every synthetic identity analyzed.
  • TransUnion's Synthetic Fraud Model has enhanced operational efficiency by reducing the need for manual reviews and minimizing customer friction.

Sources:

  • TransUnion's research on synthetic identity fraud and its impact on U.S. lenders.
  • TransUnion's Synthetic Fraud Model designed to detect and prevent synthetic identity fraud.
  • TransUnion's global data and insights on synthetic identity fraud trends and detection methods.