Auraya Events Calendar

Auraya Attending September Member Meeting in Sydney

Angelo Gajo | September 4, 2019 | 2 minutes

Event presentation with group of people

As a proud Supplier Member of the Biometrics Institute, Auraya supports the proper use and applications of voice biometrics and keeps up to date with regulatory and compliance updates. Next week, Paul Magee, the chief executive officer of Auraya, will be attending the upcoming Sydney Member Meeting for the Biometrics Institute. The event will be held at the Optus Campus Sydney (OCS) on September 11 from 9:00 AM to 12:00PM. The event will include an update on the use of biometrics at Optus and presentations from John Duggan of Doan on ‘Digital onboarding: Face biometric considerations’, Lyria Bennet Moses of UNSW on ‘Legal issues in the use of open source/ social media images for defence, national security and law enforcement purposes’ and Paul Cross of SITA on ‘Border Biometrics’.

Event: Member Meeting, Sydney
Presented by: Biometrics Institute
Location: Optus Sydney Campus
Date: September 11, 2019
Time: 9.00AM to 12.00PM


About Auraya

Auraya is a world leader in voice biometric technology with the mission of empowering people and organisations to interact and engage with convenience and security in all channels and languages.

Auraya has developed the next-generation voice biometrics technology that delivers an easy to use yet highly secure authentication capability. Auraya provides its technology to a global network of partners that incorporate Auraya’s voice biometric engine, ArmorVox™, into their secure, customer-facing applications and fraud detection solutions. The ecosystem of partners delivers solutions in all industries including government, education, healthcare, financial services, retail services and telecommunications.

ArmorVox is Auraya’s next-generation voice biometric engine designed for telephony and digital channel implementations. ArmorVox allows partners to provide frictionless and seamless customer experience and improved digital security using machine learning algorithms and patented features such as automated tuning process, speaker-specific thresholds and background models, impostor mapping, synthetic voice detection and voice collection process from browsers.


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