Zighra is continuing to build out its patent portfolio. The behavioral biometrics specialist has now received a patent for a new authentication methodology that uses program modelling to identify people across multiple applications and cloud platforms on an ongoing basis.
The patent comes courtesy of the US Patent and Trademark Office, and is the third new patent that Zighra has received in the past few months. The others include a context-based authentication system that looks at device, sensor, and behavioral data to prevent fraud during mobile transactions, and an implicit authentication system that uses factors like gait, input speed, swipes, and environmental traits to improve the machine learning models that verify the identity of a user on a mobile device.
All three solutions can be deployed as part of a robust authentication system that replaces passwords with secure behavioral biometrics. Zighra’s portfolio now includes a total of 16 issued and pending patents, which have collectively received more than 100 forward citations from major tech giants like Google, Mastercard, IBM, and Microsoft, amongst several others.
According to Zighra, those forward citations attest to the company’s leadership in the digital identity and fraud prevention space. More than 20 patent applications have also been rejected for being too similar to Zighra’s intellectual property.
Zighra’s continuous authentication solution received FIDO certification back in May. The company currently offers a developer SDK for customers that want to integrate behavioral biometrics into their own applications. In each case, the authentication process is completed on the device itself, with all data stored locally and no information sent to a centralized server to protect the user’s privacy.
“Zighra is uniquely able to perform sophisticated machine learning in real-time, at the network edge, without compromising user privacy,” said Zighra CEO and Co-founder Deepak Dutt. “These forward patent citations strongly validate our technology relevance to major tech companies in the identity, authentication and mobile commerce fraud detection eco-system.”
(Originally posted on FindBiometrics)