Predictive behaviour models for fraud, AML/CFT scenarios and budgetary control — engineered for compliance teams that need to move from reactive to anticipatory.
The increasing number of AML/CFT cases and scenarios proves that traditional compliance approaches are no longer sufficient. Data scientists have become critical catalysts for compliance teams — turning historical and live data into models that catch what rule-engines miss.
LiveEx Behaviour sits on top of your TMS, screening and goAML stack — surfacing patterns that rule-based systems can't articulate.
LiveEx-Behaviour highlights and narrows business transaction and onboarding risk via the risk framework, rules management and a controls-and-effectiveness policy library. The solution concentrates on improving and digitising the core compliance functions you already operate.
The result: vague, multidimensional reports replaced with sharp, actionable dashboards and alarms.
Behaviour models layered on customer-due-diligence baselines.
Anticipate fraud and AML scenarios using machine-learning models trained on your data.
Tie behavioural alerts to operational budgets and management thresholds.
Machine-learning models catch the patterns that explicit rules would never be written for. Together with your rule engine, they form a defence in depth.
The platform is engineered to produce sharp, multidimensional reports — not a flood of alerts. Compliance teams spend their time on real risk.