Graph data science can help businesses detect and prevent fraudulent schemes by analyzing patterns in their data, particularly those involving multiple parties working together. Fraud rings often involve individuals with good reputations and valid transactions, making them harder to detect. By using graph technology, businesses can uncover suspicious patterns, identify strongly connected communities engaged in known fraud, and pinpoint influential individuals and high-frequency paths. Graph data science can also help investigators share results with the business and enable further exploration of a connected dataset. The approach is non-disruptive, adding new dimensions to existing machine learning pipelines without changing them. It enables businesses to scale their predictive accuracy with the data they already have.