Liveness Detection Technology Selection Guide

This white paper discusses the critical aspects of selecting a facial liveness detection vendor in the context of rising identity fraud, particularly in the financial sector. It outlines the shift from traditional security measures to advanced technologies capable of combating sophisticated threats such as deepfakes and synthetic identity fraud, which account for a significant percentage of identity fraud cases. The paper details the importance of Presentation Attack Detection (PAD) as a method to verify the authenticity of biometric samples, ensuring that the individual is genuinely present during authentication. Various types of presentation attacks are described, including print attacks and 3D mask attacks. The document emphasizes the need for a balanced approach between security and user experience when implementing liveness detection technologies. It also highlights the significance of machine learning and the necessity for robust datasets in developing effective liveness detection algorithms. Additionally, the paper mentions the lack of standardized frameworks for evaluating liveness detection systems, suggesting independent testing as a means to ensure reliability.