SNA / Knowledge Graphs detects multiple types of fraud, including application fraud, transaction fraud, identity fraud, account takeovers, and even internal fraud. The contextual fraud analysis approach looks beyond isolated activities to see the “big picture” behind them. The result is a faster path to fraud detection and prevention, allowing companies to take action sooner and mitigate the negative effects of fraud.
Complex money laundering rings are hard to detect because many crime rings employ money mules that may be unaware they’re doing anything wrong. On the surface, their activities may seem legitimate. Gaining a holistic view into activities can help teams uncover money mule and money laundering activity faster. Even with KYC processes in place, identity theft and synthetic identities can go unnoticed. SNA / Knowledge Graphs helps to discover multidimensional connections that can slip through manual review methods.