SpoofSense Passive Liveness Detection System Passes Level-1 ISO 30107–3 Test

We are thrilled to announce that SpoofSense, our Passive Face Liveness Detection Algorithm, has passed Level-1 ISO 30107–3 PAD test by iBeta. This is a major milestone for our company, and it confirms that SpoofSense is one of the most accurate systems globally for detecting the authenticity of a live face in a digital image or video.

But what does this achievement mean, and why is it important?

ISO 30107–3 is an international standard that specifies the requirements and test methods for liveness detection systems. The certification process involves rigorous testing to ensure that these systems are accurate and reliable in detecting whether a face in a digital image or video is actually a live person, as opposed to a photograph or video recording.

During the certification process, ISO evaluators rigorously tested our algorithm with attempts to fool it for 48 hours with face masks, digital device screens, 3D layered faces, and more. We are proud to announce that SpoofSense was able to detect liveness with 100% accuracy, with 0 successful break-ins.

This makes SpoofSense one of the most accurate Liveness Detection Solutions Globally.

We believe that this achievement is extremely important for our company and for our customers. In today’s digital world, the need for secure authentication methods is growing. With SpoofSense, our customers can trust that their systems are protected against fraudulent attempts to access sensitive information. Whether you are a financial institution, a government agency, or a business in any other sector, the ability to accurately detect liveness is crucial in ensuring the security of your systems and the privacy of your users.

We are proud of our team for their hard work and dedication in achieving this milestone.