Anti-Spoofing Technology for
Voice and Face Biometrics

Legacy authentication methods such as passwords are easily compromised. While biometrics significantly improve security, accurate matching is useless if the biometric is faked. With the right tools, fraudsters can spoof both voice and face biometrics. Before performing biometric matching to determine you have the right person, it’s critical that you confirm the biometric is that of a real, live person. ID R&D’s voice and face anti-spoofing technology fights fraud and fills this gap.

Talk to our Experts

Anti-spoofing technology is a must when deploying biometrics for identity verification:

  • Protect biometric systems from hackers by ensuring the presence of a live person and not a presentation attack
  • Protect publicly available photos, videos, and recordings from being used by fraudsters and secure your biometric data!

Keeping voice and face biometrics safe

Unlike a password or PIN, our biometrics are not a secret. Photos and video are readily available online and on social media, and our voice are easily recorded. A person with nefarious intentions can then use this information to create spoofs or even deepfakes that can be used in a presentation attack against a biometric system. However, when deploying face and voice biometrics it is now considered a “must have” to include anti-spoofing technology. This means that even if someone is able to obtain a photo, video, or recording of you, they cannot use it in a biometric security process. Anti-spoofing technology ensures that a live person is present at the time of identity proofing or authentication.

Spoof Detection Technology
null

Voice Anti-Spoofing Technology

Voice anti-spoofing software detects recorded, computer generated, and computer modified voice, including deepfakes and voice cloning. Fraudsters use these attacks in an attempt to fool a voice biometric system into thinking it hears the real, authorized user. Many of today’s voice spoofs are imperceptible to the human ear, but contain artifacts that can be identified by sophisticated AI liveness software. As conversational interfaces become mainstream in our homes, automobiles, apps and more, voice liveness will become integral to usability and security.

Read More »
null

Face Recognition Anti-Spoofing

When using facial recognition for authentication, the ability to detect liveness is imperative. IDLive Face draws on extensive research and development, using deep learning algorithms to fight fraud and stop spoofing attacks involving photos, cut outs, 3D masks, videos and other replay attacks. The two main approaches to face anti-spoofing are active and passive. While both offer security, truly passive approaches deliver advantages in the form of reduced abandonment, fewer errors, and improved automation rates.

Read More »

ID R&D's Anti-Spoofing Technologies

ID R&D is dedicated to creating a frictionless and intuitive user experience for authentication. Consequently, we believe that anti-spoofing technology should work transparently in the background as users interact normally with your apps and devices. When it comes to facial recognition in particular, users shouldn’t have to turn their head, blink their eyes, or move the phone to determine liveness. Not only do these actions introduce unnecessary effort, they alert fraudsters that they are being checked.

ID R&D’s voice anti-spoofing technology requires zero user effort to fight fraud in telephony and microphone channels. IDLive Voice uses AI and advanced machine learning algorithms to accurately discern liveness during authentication, including device unlock use cases. The product works in telephony and microphone channels for deployment in the contact center, mobile apps, chips, and IoT devices. IDLive Voice holds the leadership position in the ASVspoof 2019 challenge.

IDLive Face is the world’s first single frame,  passive facial liveness detection product to pass Level 1 and Level 2 iBeta Presentation Attack Detection (PAD) conformance testing. This new generation of  facial liveness detection uses convolutional neural networks to prevent spoofing based on a single image. Ready to discuss adding anti-spoofing technology to your use case?

Connect with a Specialist

How Does Face Anti-Spoofing Work?

Watch a Voice Anti-Spoofing Demo

Ready to learn more about anti-spoofing technology?

ID R&D anti-spoofing and liveness products work independently of biometric matching. As a result, our technology can be integrated with any voice and face biometric verification solution. Want to learn more?

Contact Us