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Opus Research report aims to dispel fears and myths of voice biometrics


Opus Research has penned a new report addressing some of the fears and myths surrounding the use and deployment of voice biometrics.

Titled “Voice Biometrics, What Could Go Wrong? Understanding threats, weaknesses, attack vectors and how to mitigate them“, the report is aimed at differentiating the real threats from the hype, as well as providing effective techniques for voice biometrics implementation.

The report summarizes “Intelligent Authentication” methodologies to guide decision-makers in driving rapid deployments and accelerated adoption.

Authored by Opus Research program director Ravin Sanjith, the report highlights various “Intelligent Authentication” methodologies to mitigate threats, weaknesses, and attack vectors.

According to the report, efforts over the past few years to strengthen authentication methods should be calibrated to address the known threats that have long-term impact on a company’s bottom line and reputation.

Opus emphasizes that there is no single approach to authentication that is perfect, and that there is no single architecture that can prevent all inherent threats to data security and trusted communications.

Instead, the report encourages companies to implement voice biometrics in combination with other modalities and factors to exponentially improve security.

In related news, Opus Research projected in its new “Voice Biometrics Intelliview Report” that by 2020, more than half a billion individuals will be able to use spoken word — rather than PINs, passwords or answers to personal questions — to initiate conversations or transactions using their smartphones, laptops, tablets, smart speaker/appliances, and connected cars.

The report also recognized Nuance as the frontrunner across contact center authentication, contact center fraud detection, and mobile authentication.

Earlier this year, Pindrop released research revealing that voices change significantly with age, even in the short term, which makes the process of voice biometrics-based authentication more difficult to achieve.

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