Fraud Detection Using Quantum Machine Learning
By Savings UK Ltd Fraud is a persistent and costly problem across industries, from banking and insurance to e-commerce and government services. With the increasing sophistication of fraudsters, traditional detection systems are being pushed to their limits. The rise of Quantum Machine Learning (QML) — a fusion of quantum computing and artificial intelligence — offers a new frontier for combating fraud with unprecedented speed, accuracy, and adaptability. This article explores how QML can transform fraud detection through anomaly detection, real-time monitoring, quantum classifiers, enhanced data security, and next-generation fraud prevention strategies. The Evolving Fraud Landscape Fraud takes many forms: credit card scams, identity theft, insurance fraud, and money laundering are just a few. Modern fraudsters often operate in coordinated, decentralised networks, leveraging stolen data, automation, and AI to evade detection. #anomalydetection #datasecurity #fraudprevention #quantumclassifiers #realtimemonitoring #SAVINGSUKLtd
