Technologies like machine learning and artificial intelligence are often deployed for fraud detection. By analyzing patterns and anomalies in large datasets, these technologies can identify suspicious activities in real-time. Machine learning algorithms are trained to recognize fraudulent behavior across various sectors, such as finance and e-commerce, significantly enhancing security measures and reducing financial losses.