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Graph models can play a crucial role in advancing health insurance fraud prevention

Car insurance fraud is a pervasive and costly problem within the insurance industry.

The ability to dynamically adapt rules and orchestrate API calls based on the latest threat intelligence

AML solutions often rest on four crucial pillars: Bulk Offline Data Processing, Rules Execution, Case Management, and Analytics Report

In this blog, we outline the main differences in building fraud detection applications by using rules engines or ML

The Role of Cloud Native Technologies in Payment Fraud Prevention Payment fraud is a growing concern for businesses in the finance...

Real-time fraud detection is crucial in payment processing. Stream processing engines must be capable of implementing sophisticated fraud...