Regulatory data. Bank intelligence. One decision — everywhere it matters.

Intelligence Hub brings regulatory intelligence, external fraud and risk intelligence, and bank-defined intelligence into a single decisioning framework. Instead of managing separate screening workflows for each source, Intelligence Hub converts the relevant signals into one composite Signal that can be consumed across the customer lifecycle.

This enables banks to apply consistent intelligence and risk-based decisioning across onboarding, beneficiary addition, real-time transactions, periodic re-screening, investigation and regulatory reporting.

The challenge is not a lack of intelligence. It is the fragmentation of intelligence across different sources, workflows and decision rules.

When regulatory lists, fraud intelligence, cybercrime intelligence and internal bank lists are handled separately, the same customer can receive different outcomes across different processes. Intelligence Hub addresses this by providing a common framework for applying intelligence and proportional action logic across banking touchpoints.

For Fraud and AML leaders, this creates a more consistent decisioning model while reducing operational dependency on manual cross-referencing and disconnected workflows.

Yes. Intelligence Hub can be integrated with Enterprise Fraud Risk Management (EFRM) to provide a fused Signal and recommended risk-based action before a transaction is completed.

The same intelligence framework can also be used at onboarding, beneficiary addition and periodic re-screening. This allows banks to move beyond a one-time screening model and apply relevant intelligence throughout the customer journey.

Intelligence Hub applies a common, severity-aware decisioning framework across configured intelligence sources. Actions can be proportionate to the severity of the underlying signal rather than treating every match in the same way.

For example, the documented Intelligence Hub model differentiates between higher- and lower-severity C-DOT FRI and MNRL signals and supports reactivation-aware screening. A legitimately reactivated mobile number can therefore be distinguished from a current risk signal before an action is taken.

This approach is designed to help banks avoid unnecessary repeat flagging while maintaining appropriate controls for higher-risk signals.

Intelligence Hub can bring together multiple categories of intelligence within one decisioning framework: regulatory intelligence (C-DOT FRI, MNRL and Reactivation List); fraud and risk intelligence (DPIP/MuleHunter and the i4C Suspect Registry); and bank intelligence (internal fraud, suspect and referral lists).

Banks can activate the intelligence segments relevant to their requirements, while applying them through the same decisioning framework rather than creating a separate workflow for each source.

Intelligence Hub provides a Universal Screening API that allows systems such as CBS, EFRM, mobile banking, internet banking and other digital channels to access the same screening and decisioning layer.

The bank integrates with the common API rather than creating separate integration patterns for every intelligence source. This allows the intelligence framework to be extended across multiple customer and transaction touchpoints while keeping decisioning logic centralized.

Yes. Intelligence Hub maintains a customer-level risk signal and provides 90-day trend visibility, allowing compliance teams to monitor changes in risk over time rather than relying only on the outcome of an individual screening event.

The platform can combine list-based signals with network connectivity analysis and surface customers trending towards higher risk before a new regulatory match occurs. This supports a more proactive approach to customer risk monitoring.

Intelligence Hub maintains an audit trail of screening decisions, actions and regulatory events. Its documented workflow can capture the intelligence match, bank action and applicable regulatory reporting as part of the same lifecycle.

The platform also supports automated ATR generation and submission for applicable reporting workflows, while feeding relevant intelligence, risk scores and ATR event history into existing EFRM investigation systems. This gives investigators and compliance teams a more traceable view of how an intelligence-driven decision was reached and acted upon.