The Four Elevations of Effective Fraud Prevention Sponsored by IPQS
Implement multi‑layer fraud monitoring across transaction, account, platform, and network levels to detect anomalies.
Implement multi‑layer fraud monitoring across transaction, account, platform, and network levels to detect anomalies.
Summary
The IPQS fraud prevention guide outlines a four‑elevation framework—Transaction, Account, Platform, and Network levels—to detect and mitigate fraud across every customer touchpoint. At the transaction level, monitoring focuses on individual interactions, but this siloed approach can lead to false positives and missed fraud as attackers shift tactics. The account level tracks performance over time, using device intelligence, spending behaviors, geolocation, behavioral biometrics, and step‑up verification to spot account‑takeover patterns such as new address changes or unauthorized card requests. Platform level aggregates accounts on a single platform, enabling detection of fraud rings and multi‑account attacks through shared device or IP data, reducing friction for legitimate users. Network level leverages partnerships with fraud data providers to enrich decisioning across the ecosystem, allowing organizations to identify suspicious activity at scale. The guide presents a detailed fraud case involving a bank, illustrating how attackers use legitimate credentials, compromised accounts, and new authorized users to move funds while mimicking normal behavior. It emphasizes that fraudsters often exploit weak verification processes and that monitoring across all four elevations provides the highest confidence in detecting anomalies. Implementing this layered approach can reduce false positives, improve customer experience, and protect revenue streams.
Key changes
- Four‑elevation framework: Transaction, Account, Platform, Network levels
- Transaction level monitoring of individual interactions; risk of false positives
- Account level uses device intelligence, spending behavior, geolocation, biometrics, step‑up verification to detect account takeovers
- Platform level aggregates accounts to detect fraud rings and multi‑account attacks via shared device/IP data
- Network level partners with fraud data providers for ecosystem‑wide enrichment
- Detailed fraud case demonstrates attackers using legitimate credentials and new authorized users
- Emphasizes importance of monitoring all four elevations for high confidence detection
- Layered approach reduces false positives and protects revenue