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.
MULTI-FACTOR SOLUTIONS
Pindrop’s multi-factor solutions use every facet available from a voice interaction — audio, voice, and metadata — to provide risk scores and unique credentials using Deep Voice™ biometrics along with Phoneprinting® and Toneprinting® technologies. These technologies, used in concert with machine learning and a consortium of 1.1 billion phone calls per year, allows Pindrop solutions to provide highly accurate and unrivaled results for contact centers and voice applications.
Phoneprinting technology analyzes over 1,300 factors of a call’s full audio to determine true device type, geo-location, and carrier.
Deep Voice™ biometrics builds unique profiles of known customers to passively identify their voices on subsequent interactions.
Behavioral interactions into a call center are analyzed to establish patterns for both genuine and anomalous callers. Pindrop Global Consortium can also alert to historical behaviors of incoming callers.
We analyze data from call history, telcos, proprietary research, and a consortium of over 500 million calls to provide deep phone number intelligence.
Behavior
Behavioral interactions into a call center are analyzed to establish patterns for both genuine and anomalous callers. Pindrop Global Consortium can also alert to historical behaviors of incoming callers.
Metadata
We analyze data from call history, telcos, proprietary research, and a consortium of over 500 million calls to provide deep phone number intelligence.
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
Siloed data leaves unfound clues that could have been used to stop fraud before it happens. Connect all of your data with Pindrop Trace. This patent-pending analytics engine powers Protect’s account risk scoring, identifying the most complicated fraud scams, and predicting cross-channel fraud up to 60 days before it takes place.
– Get a complete picture of fraud across the company by connecting all of your data and stitching together sparse/disparate data that may indicate fraud is happening.
– Identify and prevent even the most complicated fraud scams up to 60 days in advance of fraud with account risk scores powered by Pindrop Trace.
– Improve analysis by adding your own additional data from other systems (weblogs etc.) into Pindrop Trace.
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
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.
SCORE
- Real-time delivery of risk score for every caller
- Highly accurate scores have less than a 1% false positive rate
- Alerts call centers to high-risk callers
UNIQUE PRINTS
- Quickly detect repeat callers
- Reduce authentication times
- Improve customer experience