Build a Real-Time AI Fraud Defense System with Python, XGBoost, and BERT
SMRTR summary
Guide to building a dual-layer AI fraud detection system using XGBoost for transaction monitoring and BERT for spam/phishing detection. Covers handling imbalanced datasets, real-time inference architecture, and implementing intervention workflows that actively block malicious activity. Includes production-ready code examples and deployment strategies.
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