May 22, 2020
COVID-19 Research
Consumer experience and biometrics are at a crossroad as consumers…
Technologies Overview
Proven Technologies
for all voice interactions
The proprietary technologies behind Pindrop® solutions rely on sophisticated machine learning and precision engineering, to help authenticate speakers and detect fraud.
Deep Voice™ Biometrics
Build unique voice profiles of legitimate and fraudulent callers and passively identify those voices on subsequent calls.
- Create a profile of a caller’s voice
- Detect anomalies that indicate fraud
- Detect repeat callers
Phoneprinting® Technology
Analyze over 1,300 features of a call’s full audio to:
- Determine true device type, geo-location, and carrier
- Detect anomalies that indicate fraud
- Create a Phoneprint™ signature of a calling device for repeat detection
Behavioral Analysis
Analyze signals, metdata, keypress, and reputation of callers.
- Establish keypress patterns for genuine callers
- Gain reputation insights from the Pindrop Consortium
- Detect robotic dialing and account takeover patterns
Machine Learning
At the heart of Pindrop’s anti-fraud and authentication solutions are sophisticated machine learning feedback loops and consortium models. This customer feedback allows Pindrop technology to constantly improve true detection rates.
Providing Actionable Information
Pindrop’s technologies provide two types of actionable information. First, during the call, Pindrop provides a score, assessing the risk level of the caller. Second, Pindrop’s technologies create prints that can be used to identify the caller on subsequent call attempts.