Sarcouncil Journal of Engineering and Computer Sciences

Abstract: Because of the rise in synthetic identity fraud and the growing prospects of consumers for perfect digital guests , recycling credit card operations has nowadays been more grueling . In order to help sophisticated fraud attempts and save the stylish possible stoner experience, this each- inclusive frame presents a multi-layered identity verification system that makes use of behavioral analytics, artificial intelligence, and enhanced threat scoring. The integration of Social Security Number pre-validation with behavioral analysis of One- Time word relations creates a robust security armature that significantly enhances fraud discovery capabilities. Fiscal institutions may efficiently stop synthetic identity fraud and expedite the operation process by combining automated compliance monitoring with real- time threat assessment. Long- term efficacity in precluding fraud is assured by the frame's capability to acclimate to new pitfalls through machine literacy and nonstop authentication. Also, the integration of sophisticated device characteristic and graph- grounded analytics makes it possible to identify intricate fraud patterns and coordinated attacks, setting a new standard for identity verification in credit card operations.