Watch this 24-minute conference talk from DSC EUROPE 24 where Tatjana Pejcinovic and Petra Sinka demonstrate how Guardian implements fraud detection through graph analysis. Learn how their solution combines network models with data science and visual analytics to help users efficiently detect, investigate, and prevent fraudulent activities. Discover how data represented in graph/social network format enhances relationship inspection between subjects and enables feature engineering for machine learning models. See how visual inspection and network exploration capabilities empower users to better analyze suspicious cases. This presentation was delivered on November 20th at the Data Science Conference in Belgrade, providing valuable insights for professionals interested in advanced fraud detection techniques.