Nowadays, business owners must be aware to prevent fraud from exposing company information and protect their employees, customers and revenue. So, they must use machine learning for fraud prevention. Machine learning uses algorithms to detect changes in digital networks which helps the IT or management team to take security measures. This article explores the ways in which machine learning can help with fraud detection. They are: 1. Identify Strange Spending Patterns, 2. Combine Supervised and Unsupervised Techniques, 3. Find Customer Anomalies, and 4. Protect Your Revenue. Read more at: http://it.toolbox.com/blogs/itmanagement/4-ways-to-detect-fraud-with-machine-learning-74728