Risk Scoring For Phone Number Fraud
Detecting phone number fraud requires a comprehensive strategy that combines multiple risk scoring methods, including predictive analytics and AI/ML. A robust fraud scoring tool must be able to adapt to business needs and the nature of fraud in real time, so it can strike the right balance between protecting your brand and providing a smooth user experience.
To make this possible, risk scoring for phone number fraud need to have access to a wide range of data points that are available through mobile number enrichment and reputation analysis. A mobile number is a unique identifier that connects various aspects of the digital identity, including linked email accounts, social media profiles and changes in device usage behavior, making it an extremely valuable asset when verifying users’ identities and detecting potential account takeovers.
Preventing Fake Registration Fraud: Best Practices for 2025
IPQS phone number fraud scores are enriched with enterprise-grade telecom phone validation signals that are available through our partnerships with hundreds of carriers worldwide. These phone validation signals, such as ported dates and carrier of record, help produce an accurate phone fraud score. Additionally, we use advanced phone verification and identity resolution services to identify fake, disconnected, or otherwise invalid numbers, as well as VOIP and other virtual phone types used by fraudsters to mask their true identities.
To complement this, we use dark web monitoring to detect and capture threats that are not found by other providers, such as stolen user data from hacked databases. This helps us deliver faster detection of account takeover (ATO) and business email compromise (BEC). With these tools, we are able to provide a more complete picture of the user’s digital footprint and improve the accuracy of our fraud prevention score.
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