Machine learning derived risk intelligence for every call. Using the risk analysis to guide enrollment, fraud controls, and authentication protocols.
Helping predict what accounts are being actively targeted by criminal rings as early as 60 days before an account takeover attempt.
Recognizing devices that have been encountered before, whether an enrolled user or a potential bad actor that can be quickly spotted.
Measures risk using machine learning combined with insights from suspicious calling patterns and confirmed fraud calls.
Call metadata analysis with machine learning to help identify when a number is spoofed.
Call metadata analysis with machine learning used to validate when a call is coming from the device that is associated with the number.