Fraud detection
What is synthetic identity fraud? How it works and how to prevent it
What is synthetic identity fraud? Synthetic identities are fake identities, built by combining real and made-up information, earning them the nickname “Frankenstein IDs” due to their pieced-together nature. Synthetic identity fraud is different to traditional identity fraud as it doesn’t involve an obvious, immediate consumer victim. These fake profiles are designed to mimic real customers, often slipping past traditional fraud detection systems because they don’t raise typical red flags. As a result, the primary victims of synthetic identity fraud are businesses and lenders, who bear the financial losses. How synthetic identities are created and used
Why early detection is critical in stopping deepfake attacks
Digital identity and age verification are becoming integral parts of customer onboarding and access management, allowing customers to get up and running on your platform fast. However as customer verification tools become more advanced, so too are fraudsters seeking to spoof systems by impersonating someone, appearing older than they really are or passing as a real person when they’re not. Deepfake attacks, which can mimic a person’s face, voice or mannerisms, pose a serious threat to any business using biometric customer verification. In this blog, we explore why detecting deepfakes early is essential for maintaining trust, security and regulatory