Contact center authentication, innovated
Passive voice authentication
Caller authentication in the voice channel happens behind the scenes, with no added customer friction.
One channel, multiple factors
Truly multi-factor authentication via device and behavior analysis, speaker recognition, and ANI validation.
Advanced risk engines
Machine learning on over 5 billion calls analyzes suspicious calling patterns and known fraudulent numbers to deliver a risk assessment on every call.
Deliver a better caller experience
Seamless and secure account access
Fewer KBAs on low-risk calls mean less customer headaches, while stepping up authentication for higher-risk calls means keeping customer accounts safe
Allow more self-service capabilities to authenticated customers, reducing the need for agent intervention
Faster time to call resolution
Authentication in the IVR can reduce agent processing time and increase confidence in customer verification.
2.5 Million Minutes of Handle-Time Saved
Download our case study to see how First National Bank of Omaha (FNBO) cut average handle-time by 30 seconds.
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
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
The PIN score is generated using a vast array of call intelligence derived from Pindrop’s methodology and analysis already applied to over 5 billion calls to date.
VeriCall Technology analyzes call metadata with machine learning to validate when a call is coming from the device that owns the number.