Predict risk and verify phone ownership
Capture up to 6X more identity fraud and avoid friction with up to 7X fewer false positives using Socure Phone RiskScore, part of Socure’s industry-leading identity verification and fraud prevention platform.
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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.
Key questions
Countering identity fraud requires verifying phone numbers and assessing risk at touchpoints such as account opening, account maintenance, and online transactions. Socure Phone RiskScore moves beyond rules-based approaches, and leverages adaptive machine learning and continuous feedback data to verify phone number risk and ownership, while ensuring a seamless user experience for legitimate customers.
Enable trust throughout the account lifecycle
Progressive onboarding
Enables an onboarding flow with incremental step-up verification, based on the consumer riskiness
Peer to peer actions
Measures the risk of a receiving account's credentials to avoid authorized push payment fraud
One-time passcode
Maintains trust and enables fraud prevention when sending one-time passcodes via phone
Non-monetary profile changes
Passively validates phone risk prior to implementing profile changes
Marketplace account creation
Maintains integrity of gig and sharing economy ecosystems
High value actions
Validates a consumer’s phone number prior to commencing a high-value transaction
Phone RiskScore technology highlights
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
Flexible deployment
- Mix-and-match the Socure ID+ suite with Sigma Identity Fraud, Sigma Synthetic Fraud, Digital Intelligence, as well as Email, Phone, and Address RiskScores
- Gain identity decisions within a holistic model
- Verify a 360-degree view of your users’ identities
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
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