Behaviour in context
Consider activity against an entity’s behavioural patterns, rather than interpreting each event on its own.
Assess emerging fraud risk through the behaviour of entities and the networks around them. IDYC360 brings behavioural, geographic and relationship context together to support timely, informed investigation.
Discuss your use case ↗Conceptual illustration · Connected risk
An individual transaction may appear ordinary while the surrounding activity tells a different story. Repeated interactions, changes in behaviour and connections between entities can reveal patterns that isolated checks miss.
Consider activity against an entity’s behavioural patterns, rather than interpreting each event on its own.
Bring entity behaviour, geo-behaviour and network relationships into a shared view of risk.
Use risk scores alongside contributing signals to help analysts understand why activity warrants attention.
Bring relevant transaction and entity data into the analytical workflow.
Evaluate behavioural changes and relationships around the entities involved.
Present risk insights for review within the institution’s fraud response process.
A beneficiary begins receiving activity from a growing group of previously unconnected payers. Each transaction alone may seem routine; the change in behaviour and the emerging network give the analyst a reason to investigate.
Risk signals support investigation; they are not a determination of fraud. Insight depends on the data available and the agreed deployment scope.
Walk through your use case with our team and discuss the data, integration and evaluation needs for a controlled pilot.