Four-entity relational model captures customer banking operations with integrated fraud monitoring. Customer owns multiple Accounts (1:N), each Account performs Transactions (1:N), and suspicious Transactions trigger Fraud_Alerts (1:0..1) containing Risk_Score and Status fields. This schema enables real-time fraud detection by linking transactional data directly to alert generation, critical for compliance teams and risk analysts. Fork this ER diagram on Diagrams.so to customize entity attributes, add audit tables, or export as SQL DDL for PostgreSQL, MySQL, or Oracle implementations. Ideal foundation for banking platforms requiring ACID guarantees and anomaly detection pipelines.