Moving From Anomalies to Connections in Fraud Defense
AI Summary
- Network intelligence focuses on relationships across banks rather than individual bank detection.
- This approach aims to move from detecting anomalies alone to understanding the connections in fraud networks.
Texas Relevance
The article does not explicitly mention Texas, TX, TCUD, or any Texas-specific entities. It discusses a general approach to fraud prevention that applies broadly but is not specific to Texas credit unions.
Original Content
Shared Network Intelligence Adds Ecosystem Visibility to AI Models Fraudsters collaborate, but most banks still detect fraud alone. This imbalance has defined fraud prevention for years. Now CISOs and fraud practitioners are rethinking their approach using network intelligence signals. Network intelligence shifts the lens by focusing on relationships across banks.