Authenticate customers and identify inbound fraud by analyzing audio, voice, behavior and metadata to create risk scores and trusted credentials.
Media Forking replicates the call, IP header metadata and media of an inbound call and sends it to Pindrop’s cloud-based solution for analysis. Pindrop’s patented Phoneprinting™ technology, Deep Voice™ biometrics, behavioral analytics and Tone Printing™ technology provide a continuous analysis of the call.
Anti-Fraud provides a risk score and call intelligence to the contact center in the first few seconds of each call. This score and an analysis of the caller’s voice, device and behavior helps identify and prevent fraud.
Your proven VoIP partner
on lower call acquisition per minute costs.
with Verizon inbound solutions.
to expand inbound traffic capabilities.
Informa
Fraudsters use stolen voice data to manipulate authentication systems, gain access to confidential information and conduct fraudulent activities. Learn how advanced security frameworks can help to combat fraud and ensure a safer digital environment for everyone.
Jan 4, 2024 , 56 min read
Video
Help reduce the risk of fraud and remove the need to require end-user authentication with the Verizon Inbound Anti-Fraud and Authentication solution that spots fraud early and passively evaluates each inbound caller—balancing security with positive customer experiences.
Feb 6, 2024
Fact Sheet
Providing anti-fraud detection prior to agent presentation helps reduce risk and increase efficiency. Combining Pindrop Protect authentication with Verizon Media Forking provides a single integrated, network-based solution for inbound transport.
Nov 2, 2018
Media Forking provides replication of an inbound call’s metadata, which can then be "forked" to third-party technology providers. This allows Verizon to provide proprietary enriched call-header information that integrates the Verizon network with other technology partners. This passive and secure solution does not interfere with the call path to the contact center and allows additional information to be delivered to the contact center via established APIs.
Pindrop's Deep Voice Biometric Engine uses AI and machine learning algorithms to remove background noise and enhance audio, so that we can enhance our focus on the user’s voice. With this solution, contact centers can verify that callers are who they claim to be, or if a caller's voice matches that of a known fraudster profile.*
*Biometric review of voice may have limited availability.
Knowledge-based authentication (KBA) does not protect against fraud. In its 2022 Voice Intelligence & Security Report, Pindrop found that fraudsters can pass KBA up to 92% of the time, while genuine customers only passed KBA 46% of the time.¹ Replacing KBA questions with advanced, passive authentication technology helps reduce average handle time while keeping fraudsters out.
¹2022 Voice Intelligence & Security Report, Pindrop.
²US Contact Center Decision-Makers’ Guide, Genesys, 2023.
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