Behavioural context
Examine activity over time to understand patterns associated with an entity.
Understand how an entity behaves over time and how that behaviour changes. IDYC360 combines behavioural analysis and explainable risk scoring to help financial institutions identify activity that deserves a closer look.
Discuss your use case ↗Conceptual illustration · Entity context
A single threshold cannot capture every entity’s usual behaviour. Understanding changes in interaction patterns, timing and geographic activity provides context for assessing risk without treating every unusual event as fraud.
Examine activity over time to understand patterns associated with an entity.
Surface deviations in behaviour for assessment alongside the surrounding activity.
Connect risk scores with contributing behavioural and network signals to support analyst review.
Use relevant activity history to establish a behavioural view of an entity.
Consider new activity in relation to that history and its connected context.
Review the risk assessment with supporting signals before deciding what action is appropriate.
An entity that typically interacts with a stable set of counterparties begins engaging with a much wider group. That change may have a legitimate explanation, but a behaviour-led assessment helps an analyst identify and examine it.
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.