About this document
AI Fraud Detection Trends 2025 by atharva.chilwarwar is a document available to read on EtoBox.
The document outlines the increasing sophistication of fraud, particularly through AI-powered methods, with a 180% rise in advanced fraud attempts year-over-year. It proposes a new approach to fraud detection using behavioral dynamics, which analyzes user interactions to identify anomalies, achieving an accuracy of 80.33%. The document also discusses the potential market for biometric behavior solutions and the integration of these systems into existing fraud detection frameworks to enhance efficiency and r
- Author
- atharva.chilwarwar
- Language
- EN