mSIGNIA Awarded Additional Machine Learning Patents for Authentication and Data Protection

Five patents now protect mSIGNIA’s innovation and leadership in using Digital Biometrics to ID users and protect online payments

NASHVILLE, Tenn.--()--mSIGNIA, the inventor of Digital Biometrics, today, announced that three additional patents have been granted; two by the U.S. Patent and Trademark Office and Patent No. 6095691 by the Japanese Patent Office. This totals five mSIGNIA issued patents for innovation in authentication, cryptography and data protection since mSIGNIA’s first patent was granted in 2014.

“mSIGNIA’s innovations in data analytics and security eliminate the burden of user efforts like passwords; enabling safe, easy online access and payments for all users regardless of the device they use. We are excited to be granted patents on such groundbreaking technology.”

U.S. Patent No. 9,559,852 is a continuation of mSIGNIA’s earlier Digital Biometric patents that use machine learning to identify users and recognize devices; all in a consumer friendly and privacy compliant manner. When a user configures and personalizes their laptop, tablet or smartphone, data is added to the device. This data – the user’s Digital Biometric – changes according to a user’s habits: texts and calls are exchanged, media and music are played, locations are frequented, etc. mSIGNIA uses machine learning to anticipate and validate changing identity-related data. The result is a frictionless, continuous authentication of the user and the device on which the data is stored.

“Just as a person’s fingerprint yields data that uniquely identifies them, the data a person adds to their device becomes their Digital Biometric for identity,” said Paul Miller, CEO for mSIGNIA. “mSIGNIA’s innovations in data analytics and security eliminate the burden of user efforts like passwords; enabling safe, easy online access and payments for all users regardless of the device they use. We are excited to be granted patents on such groundbreaking technology.”

U.S. Patent No. 9,722,804 is an extension of mSIGNIA’s previous US Patent 8,817,984 on cryptographic security functions based on anticipated changes in dynamic minutiae. mSIGNIA’s invention of ‘Dynamic Key Crypto’ allows a website to store encrypted personal data on a user’s device. The secured data can include private keys, payment tokens and other private data necessary to personalize the experience for the user.

mSIGNIA’s patent portfolio enables a secure, frictionless online experience. Online services such as payment providers, banks, healthcare, corporate IT and social media can reliably identify users and their devices without disrupting the user experience. Digital Biometrics enable multi-factor authentication which can be compliant with many financial industries and government strong authentication regulations, even on devices that do not have a fingerprint reader. mSIGNIA’s iDNA product line, with the patented features of Digital Biometrics, Associated Push and Dynamic Key Crypto, is also compliant with various domestic and international user privacy regulations and best-practices.

About mSIGNIA

mSIGNIA, the inventor of Digital Biometrics, provides safe, customer-friendly authentication of a user and their device. The data a user adds to their device, their “Digital Biometric”, is as unique as their fingerprint. A user’s Digital Biometric changes according to user behavior and, through machine learning, it can be analyzed to identify a user across any device, including new devices. The mSIGNIA iDNA platform provides online services with a privacy-compliant Digital Biometric, frictionless enhanced authentication via Associated Push and sophisticated mobile app security to identify users, recognize devices and reduce fraud, all while improving the customer experience. mSIGNIA is a technical associate of EMVCo and active in 3D-Secure specifications. To learn more, visit msignia.com.

Contacts

mSIGNIA
Emily Anderson, 615-473-4786
emily.anderson@mSIGNIA.com

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Release Summary

mSIGNIA Awarded Additional Machine Learning Patents for Authentication and Data Protection.