Best Voice Biometrics Software for Amazon Web Services (AWS)
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Compare the Top Voice Biometrics Software that integrates with Amazon Web Services (AWS) as of August 2025
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This a list of Voice Biometrics software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.
What is Voice Biometrics Software for Amazon Web Services (AWS)?
Voice biometrics software is a type of security system that uses the unique characteristics of an individual's voice to authenticate access. It usually works by asking the user to speak predetermined phrases which are then analyzed against previously recorded audio samples. Voice biometrics is used as an alternative to traditional authentication methods such as passwords and PINs. Compare and read user reviews of the best Voice Biometrics software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.
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Pindrop
Pindrop
Fraud in the contact center is a multi-billion dollar problem. With 1 out of every 770 fraudulent calls getting to agents. It is an arms race between fraudsters and call center teams to outsmart and outmaneuver each other. In the IVR, one out of 390 accounts being accessed in the IVR will be the victim of a fraud attack. Fraud loss directly impacts a company’s bottom line, customer experience, and brand perception. Pindrop® is a multifactor, real-time, fraud prevention solution that analyzes calls into the contact center for voice, device, and behavior to find up to 80% of phone channel fraud, predict future fraud 60 days in advanced, provide a complete cross-channel view of fraud, reduce costs and review rates, and harden the company against attacks. Determine call risk and account risk in the IVR to prevent data theft, account mining, ATO, and omni-channel fraud. Get real time call risk on every call with real-time alerts for agents on potential fraudulent callers.
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