Certified Liveness Detection

AZYO's Liveness Detection Technology Prevents Bots & Bad Guys

It’s really easy to spoof a facial recognition system through facial pictures, such as portrait photographs. A highly secured system needs liveness detection in order to prevent such spoofing attacks.

AZYO’s Liveness Detection algorithms analyze faces in real-time and decide whether they come from a live person or a fake. To cope with various presentation attacks, AZYO’s most promising liveness detection combines technologies like motion and/or texture analysis, as well as Artificial Intelligence and Machine Learning.

AZYO leverages active as well as passive liveness detection technology. Active liveness detection refers to methods where the user performs an action, such as blinking, making facial movements like a happy or a sad face, which makes it really difficult and time-consuming for the user to spoof the system. Passive liveness detection uses internal algorithms to detect spoofs and requires nothing from the user. Passive liveness detection technology runs as a background job without users even realizing that it’s occurring, aka “security through obscurity”. The goal of passive liveness detection is to detect attributes of presentation attacks such as edges, texture, and depth to precisely differentiate a live human face from a lifeless or spoofed face. AZYO’s Liveness Detection Technology prevents bots and bad actors from using stolen photos, deep fake videos, masks, or other spoofs to ensure that only real humans are allowed into the real environment.

For Onboarding, eKYC, Enrollment & Banking Transactions

Requiring every new user to prove their Liveness as soon as they’re asked to present an identity document during digital onboarding is itself a huge deterrent to fraudsters who don't want their real face on camera.

If the onboarding system has a weakness and loopholes, the bad guys will exploit it to create as many fake accounts as possible. To prevent this, AZYO’s Certified Liveness Detection during new account onboarding plays a vital role. Once AZYO understands that the new account belongs to a real human, their biometric data can be stored as a trusted reference of their digital identity in the future.

Most biometric attacks are spoof attempts, AZYO’s Certified Liveness Detection during user authentication should be mandatory. With tremendous high-quality photos of almost everyone available online, a simple biometric authenticator cannot be relied for the security. AZYO’s Liveness Detection is the first and most important line of defense against targeted spoof attacks on authentication systems.

With AZYO’s Certified Liveness Detection, users can't even make a copy of their biometric data that would fool the system even if they wanted to.

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