VoiceVault, a private voice biometric company is pleased to announce that their voice biometric identity verification solution is verified by Microsoft (News - Alert) as having the ability to handle at least 1 billion authentication sessions per year.
This is an important milestone for the company as it further confirms VoiceVault’s position as an industry leader in providing enterprise solutions that passes hard standards of scalability, availability, and audit trailing. These standards are crucial in any business set-up (like call center) as these offers business continuity and security.
Now with the ability to handle a 1 billion biometric session throughput rate, the customers of VoiceVault will be able to save costs by utilizing its voice biometric identity verification solution as less hardware is required to get identity verification response time goals.
The biometric identity verification is an emerging field of information technology that uses automated identification of individuals using their biological traits like fingerprint, facial, or other biometric data.
This level of performance and scalability is an important VoiceVault distinguisher. It also showcases that the voice biometric component of a call center solution or smart device app will never be barrier. VoiceVault is a US based company (El Segundo, CA (News - Alert)) with an R&D center in the UK. VoiceVault's solutions use an individual’s vocal characteristics for biometric identity verification over the phone, web, or via mobile and smart device applications.
The high volume capacity is enabled by Microsoft SQL Server 2012, a key architecture component of VoiceVault voice biometric identity verification solutions.
"As a voice biometric solution provider, it's vital that we have high levels of throughput designed-in," said in a statement, Nick Wise, CTO for VoiceVault. "Identity verification is a key component in enterprise solutions and our customers expect it to perform at the highest levels. We're proud to be working with Microsoft in ensuring that voice biometrics is never a bottleneck."
Edited by Carlos Olivera