Our liveness solution has been rigorously tested against both Level A and B attack scenarios, ensuring robust protection across a wide range of spoofing techniques. From printed photos and video replays to digital screens and advanced 3D masks, it’s built to detect and defend against today’s most sophisticated presentation attacks; delivering the reliability and trust your identity workflows demand.

Our liveness detection engine delivers results in just 3-6 seconds, ensuring security checks are fast, seamless, and unobtrusive. Optimised for real-time performance, it keeps users moving through your onboarding flow without delay, while maintaining the highest standards of fraud prevention.

Our solution leverages advanced passive liveness detection to verify users effortlessly; no prompts, movements, or interruptions required. This invisible layer of security works in the background to detect spoofing attempts while preserving a smooth, frictionless user experience. Ideal for high-scale, high-trust environments where both convenience and protection matter.

Designed for the modern digital ecosystem, our module integrates seamlessly with your existing systems via mobile SDKs and web APIs. Its flexible architecture supports digital and remote onboarding across any location or device, delivering a consistent, secure experience wherever your customers are.

Liveness detection is a biometric security technology that verifies a person is physically present during an identity verification process, rather than using a photo, video, mask, or other spoofing method. It analyses facial characteristics and subtle signs of life to distinguish real users from fraudulent attempts, helping organisations prevent identity fraud and account takeover. Modern liveness detection solutions can operate in real time with minimal user interaction, enabling secure, fast, and frictionless digital onboarding.

Traditional biometric verification confirms that a person’s biometric data, such as a facial image, matches a trusted reference like an identity document or stored profile. Liveness detection adds an extra layer of security by verifying that the person presenting the biometric is physically present and not using a spoofing method such as a printed photo, video replay, digital screen, or 3D mask. Together, biometric verification and liveness detection provide stronger protection against identity fraud by confirming both who the person is and that they are genuinely present during the verification process.

Presentation attacks attempt to deceive biometric systems using photographs, videos, masks, or other fake representations of a person’s face. Liveness detection helps identify these spoofing attempts before identity verification is completed.

Facial recognition and liveness detection serve different purposes in identity verification. Facial recognition compares a person’s face to a trusted reference, such as an identity document or stored biometric profile, to confirm their identity. Liveness detection verifies that the person presenting their face is physically present during the verification process and not using a printed photo, video replay, digital screen or 3D mask to impersonate someone else. Used together, these technologies provide stronger protection against identity fraud by confirming both who the person is and that they are genuinely present.

Liveness detection analyses biometric characteristics to determine whether a real person is present during identity verification. By detecting spoofing attempts before authentication is completed, it helps organisations reduce identity fraud and strengthen digital security.

Traditional active liveness requires users to perform awkward actions like blinking, nodding, or following a dot on the screen. Sybrin utilises passive liveness detection, which works invisibly in the background. The user simply looks at the camera for a selfie, and our AI verifies presence. This zero-action approach significantly reduces friction and prevents customer abandonment during onboarding.

No. Sybrin’s Liveness Detection is designed for universal accessibility. It works across standard web browsers (desktop/mobile) and integrates into native iOS and Android apps via our SDK. The algorithm is optimised to work even with mid-range cameras and in various lighting conditions, ensuring that your digital services remain inclusive for all customers regardless of their device.

Speed is a critical metric for digital trust. The liveness analysis typically returns a result in 3 to 4 seconds. This real-time performance allows the identity verification step to feel like a natural part of the selfie-taking process, rather than a separate, time-consuming security hurdle.

Our AI is built on diverse, global datasets to ensure Biometric Inclusivity. The algorithm is specifically tuned to recognise and verify faces across a wide spectrum of ethnicities, ages, and genders with equal precision. This prevents “biometric bias,” ensuring that your digital onboarding remains accessible and fair to your entire customer base, regardless of their demographic.

Yes. To ensure a true omnichannel strategy, our liveness detection is available via a Mobile SDK (for native iOS and Android apps) and a Web SDK (for mobile and desktop browsers). This means you can offer the same high-security biometric check whether a customer is applying via your app, your website, or even an in-branch kiosk.