Auraya Events Calendar

Auraya Attending RegTech Edge: Showcase

Angelo Gajo | September 6, 2019 | 2 minutes

conference event speaker presenting

Chief executive officer, Paul Magee, will be attending the RegTech Edge: Showcase in Microsoft Reactor Sydney on October 10. Paul Magee will be a guest speaker and will be speaking on the topic of leveraging voice biometrics against financial crimes. The event will go from 8.30AM to 2.00PM with Paul Magee speaking on the financial crime section from 2.10PM.

RegTech’s industry showcase brings together all participants across the ecosystem to highlight and bring awareness to leading solutions of the 18 member RegTech firms. The event will cover topics of risk management, data analytics and financial crime.

If you would like to attend the event and meet with Auraya, please head over to RegTech to register. It is a complimentary registration for RTA members and $120 for non-members.

Event: RegTech Edge: Showcase
Presented By: RegTech and Microsoft
Location: Microsoft Reactor, Sydney
Date: October 10, 2019
Time: 9.00AM to 2.00PM

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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