Fraud detection is the process of identifying and preventing dishonest activities, often involving financial transactions. Organizations use various techniques and technologies to spot unusual patterns or behaviors that may indicate fraud. For example, banks monitor customer accounts for suspicious transactions, while online retailers use algorithms to flag potentially fraudulent purchases. To enhance fraud detection, companies often employ machine learning and data analytics. These tools analyze vast amounts of data to recognize trends and anomalies. By leveraging these advanced methods, businesses can protect themselves and their customers from potential losses, ensuring a safer environment for everyone involved in the financial system.