NEXYTE Product Description Page 3 Text-inferred Relations 4.3.2 Risk Scoring Machine Learning generated risk scoring can be applied to entities (including people, financial transactions, containers, and more), according to the customers’ unique use cases. Risk scores can assist users to easily surface entities with high-risk likelihood. For instance, imported goods can be automatically identified for high risk of customs tax evasion, then easily accessed by personnel for inspection. Likewise, border security personnel can identify high risk individuals to detain for further inspection. To train the ML model, the system analyzes historical data and incidents that may reflect on future events, thus, the model learns to identify the risk factors based on the past. Risk Scoring Example