Predict risk and verify phone ownership

Streamlining phone number fraud and account takeover prevention

Leveraging advanced machine learning built upon consortium performance feedback data and the industry's most extensive data sources, Socure's Phone RiskScores verifies 28% more phone numbers than the leading phone finder providers, and captures insight from 70+ reason codes that are specific to the risk level of the phone number provided.

Passive yet highly predictive

• Harness comprehensive data coverage from telco signals (number tenure, line details, activity patterns), credit headers, and Socure's proprietary consortium data
• Evaluate the strength of connection between a phone number and the associated identity with advanced correlation modeling
• Utilize extensive phone intelligence signals including primary/secondary designations, first/last seen dates, usage metrics, disconnect events, SIM swaps, line types, carrier classifications, and proprietary risk alerts

Continuous improvement

• Trained on Socure’s consortium feedback data gathered from our vast customer base, the Phone Risk model uses both positive and negative risk attributes
• Analyze a comprehensive range of phone-specific features, including phone number age, type, carrier, service details, frequency of use, partial name and nickname matching, and alternative phone numbers linked to an identity.
• Predict both the risk of identity fraud associated with a phone number, and provides insights into the phone number’s correlation to the complex, historic, holistic identity of the individual behind it