Traditional rule development depends on experts who are always one step behind. The mining agent continuously processes new case data and surfaces emerging fraud patterns before they scale.
The mining agent enhances detection at every point in the transaction lifecycle, not just after the fact.
Risk domain experts shift from grinding through raw data to reviewing AI-surfaced insights. The agent handles the discovery. Your team makes the call.
Agent collects cases, transactions and investigator inputs. Events are automatically matched and labelled as fraud or legitimate — no manual effort required.
Agent mines features using statistical, correlation-based and composite methods. Each candidate is evaluated against fraud and legitimate samples to generate ranked rule recommendations.
Risk experts validate and refine AI-generated features and rules. Human judgment stays central before anything moves to deployment.
Approved features and rules are configured into the live decisioning system — closing the loop from AI discovery to active fraud prevention.
