In this 9-minute read, learn how liveness detection prevents the spoofing of biometric credentials and which techniques and technologies are most effective...
In this practical guide, you'll learn:
- How to insulate customers from spoofing threats without adversely impacting their experience.
- How the “platform approach” to liveness detection allows businesses to customize security levels according to use cases and consumer preferences.
- The differences between common liveness techniques, including eye blink, head movement, smile detection, texture, lighting, bezel detection, digit prompting, replay detection, challenge phrases, and modified behavior detection.
How passive liveness algorithms use machine learning to detect subtle differences between genuine and attack data.
- How emerging fraud vectors are likely to imperil single point solutions, and why resilience over time and the flexibility to easily implement new technologies is paramount.
Download the Guide:
"Market feedback has shown that the less users are aware of a liveness process, the greater their satisfaction."