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Call Risk Analysis

Machine learning derived risk intelligence for every call. Using the risk analysis to guide enrollment, fraud controls, and authentication protocols.

Account Risk Analysis

Helping predict what accounts are being actively targeted by criminal rings as early as 60 days before an account takeover attempt.

Device Printing

Recognizing devices that have been encountered before, whether an enrolled user or a potential bad actor that can be quickly spotted.

Fraud Intelligence (PIN Score)

Measures risk using machine learning combined with insights from suspicious calling patterns and confirmed fraud calls.

Spoof Detection

Call metadata analysis with machine learning to help identify when a number is spoofed.

ANI Validation

Call metadata analysis with machine learning used to validate when a call is coming from the device that is associated with the number.