Anomaly Detection in E-commerce Transactions Using Hybrid Deep Learning Models

As online shopping continues to explode, so do the tactics used by fraudsters.The old-school method of using "rule-based" systems essentially a rigid checklist of "if this, then that" is falling behind because modern fraud is constantly evolving.To stay ahead, we've developed a hybrid framework that acts like a digital detective, combining two powerful tools: Autoencoders and Isolation Forests.