As digital adoption continues to rise, so does the ingenuity of fraudsters who exploit online transactions to commit fraud. They mask their identities and locations and use stolen identity elements to create fraudulent accounts, posing significant challenges for organizations to detect and prevent these activities. But what if digital footprints could be the key to distinguishing between legitimate consumers and fraudsters? Could linking identities to devices provide a more effective way to assess risk? Join this session to explore how to stay ahead in the ever-evolving landscape of digital fraud: 

• Why devices are now an inherent part of consumer identities 
•  Explore the tools that feed a digital footprint including device risk,  phone number, email, and IP intelligence 
• How machine learning can take device risk solutions to the next level