Fraud detection systems are tools designed to identify and prevent fraudulent activities, particularly in financial transactions. These systems analyze patterns and behaviors in data to spot anomalies that may indicate fraud, such as unusual spending habits or unauthorized access to accounts. These systems often use advanced technologies like machine learning and data analytics to improve their accuracy over time. By continuously learning from new data, they can adapt to emerging fraud tactics, helping organizations protect themselves and their customers from financial losses.