Explore projects tagged card-fraud that build and integrate card fraud detection systems, real-time transaction monitoring, machine learning fraud scoring models, rule engines, and tokenization strategies to prevent chargebacks and reduce fraudulent transactions. This curated list of projects highlights implementations focused on anomaly detection, behavioral analytics, payment gateway integration, PCI DSS-compliant architectures, feature-engineered models, and scalable streaming pipelines — use the filtering UI to narrow by technology stack, ML approach, data sources, deployment model, or maturity to find production-ready solutions. Discover actionable insights, compare open-source and enterprise projects, and take the next step to evaluate and deploy proven fraud prevention tools.
