Geographic patterns
Explore the geographic attributes available in the institution’s data alongside relevant activity.
Examine geographic patterns alongside entity behaviour and network relationships. IDYC360 helps analysts understand when a change in geographic activity adds useful context to a risk assessment.
Discuss your use case ↗Conceptual illustration · Geographic context
Geographic activity becomes more informative when considered alongside an entity’s history and its counterparties. A new region or an unusual concentration of interactions may be worth reviewing, but it needs behavioural context.
Explore the geographic attributes available in the institution’s data alongside relevant activity.
Consider shifts in geographic activity in relation to an entity’s usual patterns.
Assess geographic observations together with behavioural and network signals.
Work with the geographic attributes supplied in the relevant data.
Examine how current geographic activity relates to previous behaviour.
Interpret changes alongside entity relationships and other risk signals.
An entity’s activity expands from a familiar set of locations into several new regions while its counterparty relationships also change. Reviewing these changes together provides more context than treating a location as suspicious on its own.
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.