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AI Model

AI Model and Rules Management

Artificial Intelligence (AI) Model and Rules Management Scoring Framework

Every transaction is evaluated by two systems:

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AI Model

Model checks against multiple transaction indices and compares them to patterns identified in historical data that is correlated with fraudulent use.

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Versus the Rules

The system checks against rules set by the customer within the Rules Management tool.

Types of rules:

  • Score Rules: Used in the final score of the transaction.
  • Action Rules: Direct outcome either accept or reject.
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Scoring Logic of AI Model and Rules

Each System Generates:

  • Their own score
  • An accept/reject recommendation
  • Reason codes and their details

Final Score and Recommendation

The final score and recommendation is determined by the Transaction Risk Management processing logic.