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Busting 3 Myths of Voice Biometrics

Busting 3 Myths of Voice Biometrics

Despite being one of the most secure authentication methods, fewer customers have experienced or understand speech verification. This lack of awareness has allowed some common myths and misconceptions about the security of the technology. Voice verification allows a company to take a speech sample from someone claiming a specific identity, and compare that to the stored voiceprint for authentication of identity. This process is extremely fast (think micro-seconds), needing only a couple of seconds of speech to store the voiceprint.  This is why it is already used in many applications that have become an integral part of our daily routines, such as Google Assistant, Amazon Alexa or Apple Siri). The level of intuitiveness and user-friendliness enabled by voice biometrics allows a seamless interaction.

Myth 1: Fraud in Voice biometrics is growing due to call center vulnerabilities.

While cyber crime and fraud in general is becoming an enormous issue across the board, voice biometric authentication is the most secure option available. Especially for banks, healthcare and government organizations, voice is more secure than a fingerprint, while single factor authentication such as pins and passwords, can be copied easily. Add to that the famous insecure security questions like “which city did you meet your partner” that become tedious to customers.

Adding voice biometrics as a multi-factor authentication is value added by not only reducing the risk of fraud by unequivocally identifying the customer, it also protects the customer who themselves can be the victims in the case of impersonations. A quick test, would allow customers to prove that they have been a victim of fraud carried out by a third party. An added benefit, voice biometrics can also be used to build a database of“blacklisted voice prints” to sound off a security alarm protocol.

Myth 2: Voice biometrics is too complicated to implement.

As a cyber security tool, voice biometrics is the result of decades of collaboration with academic linguist, cryptographers, cyber security experts and engineers. With recent advances in Artificial Intelligence (AI) and the science of Big Data to verify a speaker rapidly and reliably, voice biometrics can be implemented easily on any platform of choice — hardware server, data center or cloud. Best of all, it is highly scalable and can be easily deployed in a variety of different applications such as contact centers, healthcare management, public services and financial systems. Voice Biometrics reduces the average authentication time by up to 67%, which also frees up the agents, meaning they can be more engaged in dealing with customers. Aculab VoiSentry APIs enable developers to add the enhanced security and user convenience of biometric voice authentication to their customer contact applications within hours.

Myth 3: Voice Biometrics won’t work with accents or languages.

The most advanced voice biometrics systems like VoiSentry can verify a persons identity when speaking a different language than the one recorded in their voice-print. Additionally, natural conversation-based voice authentication doesn’t actually have to comprehend what’s being said, so the accent is irrelevant. There are biometric characteristics of a persons voice that are unique, and those don’t change no matter what the language. This is useful in cities like Montreal, Canada where a large percentage of the population are completely bilingual in both French and English, and easily switch between languages.

To conclude, myths and speculation surround most technologies — and as cyber breaches become ever more common, voice biometrics is  revolutionizing how companies authenticate their customers and secure sensitive information — with the exceptional security credentials, while simultaneously enhancing the entire experience.

Now, your business customers can replace frustrating, time-consuming verification processes simply by allowing their users, clients or subscribers to authenticate with their voice.

#voice biometrics #biometric #Voice Authentification