StreamCube Technology's Intelligent Anti-Money Laundering System, based on a leading "Batch-Stream unified" technical architecture, provides financial institutions with comprehensive AML capabilities covering post-event alert analysis and real-time risk interception. The system not only supports traditional end-of-day batch processing for risk account identification but also seamlessly integrates with core banking and business channel systems to achieve real-time AML monitoring and alert. It is particularly suitable for time-critical risk scenarios such as telecommunication fraud fund interception and cross-border money laundering.

The AML system provides a highly visual interface for rule and model configuration, empowering business personnel to independently participate in the formulation and iteration of AML strategies. It supports hot deployment to production, significantly reducing reliance on technical resources and strategy update cycles.

Meanwhile, the system integrates triple-core decision-making capabilities -- rule engine, machine learning models, and graph models. Leveraging its excellent high-performance computing architecture, it easily handles massive data and long-term analysis requirements, achieving accurate and efficient risk detection and disposition.

StreamCube Technology's Intelligent Anti-Money Laundering System is committed to helping financial institutions achieve a full-process "pre-event, in-event, post-event" closed loop risk management. Through the dual-driven engine of "Rules + AI" and transaction-level risk analysis, it significantly improves risk identification accuracy and reporting rates while reducing false positives.

The system further possesses agile AML model management capabilities to assist business teams in quickly responding to regulatory changes, optimize compliance operation efficiency, and build a solid and future-oriented AML defense system for financial institutions.