Cognizant (India)

A Cryptographically Secure and Explainable AI Framework for Automated Health Insurance Claim Processing Using the Insurefusionnet

Automated health insurance claim processing has become increasingly important as insurers rely on intelligent systems to handle growing claim volumes and automated decision support systems for claim transparency. However, existing models often suffer from limited interpretability...

FRAUD-X: An explainable AI-based deep learning model for real-time cloud-driven financial fraud and risk analysis

FRAUD-X is an explainable, a cloud-native explainable deep learning framework designed to improve real-time financial fraud detection while ensuring interpretability and regulatory compliance. The primary objective is to develop a scalable Temporal Convolutional Network (TCN)-bas...