Alternative Data is the Missing Link in Synthetic Identity Detection | Presented by AtData
Summary
Synthetic identity fraud remains one of the most difficult fraud threats for organizations to detect, as fraudsters blend real and fabricated information to create identities that can bypass traditional verification methods. As fraud tactics evolve, organizations need additional signals to better distinguish legitimate customers from synthetic identities.
In this session, experts from AtData and Experian will discuss how alternative data is helping organizations close critical gaps in identity verification and fraud detection. The discussion will explore how alternative data provides a more complete view of identity risk, enabling businesses to identify synthetic identities earlier in the customer journey while reducing friction for legitimate consumers.
A key focus will be the role of email intelligence as a powerful source of identity insight. Attendees will learn how email-based signals, including age, reputation, velocity, and linkage attributes, can help uncover fraud patterns that may be missed by traditional data sources. Through real-world examples and best practices, this session will demonstrate how combining email intelligence with broader alternative data strategies can strengthen fraud prevention and improve identity confidence.
What You'll Learn
- Why synthetic identity fraud remains difficult to detect using traditional data alone
- How alternative data strengthens identity verification and fraud prevention strategies
- The role of email intelligence in identifying synthetic and manipulated identities
- Best practices for integrating alternative data into onboarding and risk workflows
- Insights from AtData and Experian experts on emerging fraud trends and detection techniques
Speakers
