Relationship with other terms

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In the gaming industry, fraud monitoring is used to prevent fraudulent purchases in games. For example, a fraud system can detect anomalous purchases, such as bulk purchases of low-value items or a large number of microtransactions in a single account.

Fraud monitoring is closely related to other concepts and protection iceland phone number list methods, such as:
Data security - fraud monitoring is part of an overall data protection strategy, ensuring not only confidentiality but also data integrity.
Antifraud systems are software solutions specifically designed to combat fraud. Fraud monitoring is an integral part of such systems.
Fraud is a key concept that defines the goals of fraud monitoring. Understanding the different types of fraud helps in creating more effective detection algorithms.
Relationship with Machine Learning
Modern fraud monitoring systems use machine learning algorithms to improve accuracy and efficiency. Machine learning helps the system analyze huge amounts of data, detect hidden patterns, and adapt to new threats.
Example: If fraud monitoring could previously only detect obvious signs of fraud, such as the use of stolen cards, now, with the help of machine learning, the system can predict possible fraudulent activities, even if they have not yet been recorded.