An integrated SaaS solution that helps detect a wide range of suspicious transaction activity in real-time. Reducing false positives, while supporting compliance with local anti-money laundering regulations.
benefit from real time
Transform AML Compliance
Sentinels Transaction Monitoring offers effective, data-driven transaction monitoring and alert management that reduces false positives. Allowing you to focus resources on higher-risk customers and maintain AML compliance at scale.
Featuring a powerful hybrid detection engine supported by a robust scenario detection library, it facilitates real-time identification of suspicious activity as well as post-event transaction monitoring, creating actionable client profiles for fast, effective data-driven investigations.
Detect in real time
Sentinels’ decoupled hybrid detection engine is designed to process traffic, identify suspicious transactions, and block them in real-time to prevent fraudulent customer activity, reduce false positives and identify true positives otherwise undetectable by legacy technology.
Sentinels can embed directly within transaction flows, delivering scalability and performant response times.
Efficient case management guides users through alert handling. With an intuitive user interface, all relevant customer and transaction information is available and consolidated in one place, empowering analysts to manage alerts and investigations effectively and efficiently.
Prioritize and assign cases based on associated risk and use business rules to control first and second line of defence escalations, facilitating efficient reporting to the FIU where needed.
Validate Detection Rule Performance
Sentinels Transaction Monitoring enables you to build powerful, performant detection scenarios using key data components sourced directly from integrated API feeds. Scenario rules can be selected and implemented from a wide library of pre-packaged detection scenarios to suit your organization’s needs.
Additional scenarios configured directly by business users. New rules can be submitted for analysis with advanced back-testing capabilities, allowing analytics teams to simulate and predict detection rule performance quickly and easily.
Rich customer profiles (containing Case History, Status Alerts, Customer KYC Data and Transaction History) provide a single source of customer truth accessible on one screen.
Customer profiles are continuously updated with data-driven insights from Sentinels’ detection engine, in tandem with internal and external data sources, to support quick, accurate decision-making by alert and case investigators.