Dynamic IWO Scoring: Real-Time Fraud Detection
Blog post from Didit
Dynamic IWO (Identity World Observation) scoring represents a significant advancement in combating online fraud by shifting from static risk assessments to real-time analysis of user behavior and contextual data. This approach enhances accuracy by incorporating a wider range of data points such as IP distribution patterns, which help identify fraudulent activities through the detection of anomalous behaviors in IP addresses. Didit employs Apache Cassandra, a scalable NoSQL database, to manage the vast datasets required for immediate fraud detection and offers a holistic risk assessment by integrating IWO scoring with global verification data, including ID verification and biometric authentication. This layered strategy reduces false positives and adapts to evolving fraud tactics, ensuring a resilient defense against sophisticated attacks while maintaining scalability and performance.
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