
TigerGraph AML solution delivers advanced graph analytics to detect and prevent money laundering efficiently.
Vendor
Tigergraph
Company Website




Overview
TigerGraph’s Anti-Money Laundering (AML) solution leverages advanced graph database technology to uncover hidden patterns and relationships within complex financial data. It helps financial institutions identify suspicious activities and potential money laundering schemes quickly and accurately. The platform uses real-time analytics and machine learning to analyze large volumes of structured and unstructured data, enabling proactive detection and investigation of fraudulent behaviors. By providing deep insight into connections between entities, transactions, and events, it enhances compliance efforts and reduces risks associated with financial crimes.
Features and Capabilities
- **Graph-Powered AML Detection: **Utilizes graph database technology to analyze relationships among entities, revealing complex money laundering networks and suspicious patterns often missed by traditional systems.
- **Real-Time Analytics: **Enables immediate identification of risky transactions and entities through continuous monitoring and real-time graph computations.
- **Machine Learning Integration: **Incorporates ML models to score and classify suspicious activities, improving detection accuracy and reducing false positives.
- **Data Integration and Scalability: **Seamlessly ingests and integrates diverse data sources at scale, including transactional data, customer information, and external watchlists, supporting large-scale enterprise needs.
- **Deep Entity Resolution: **Resolves identities across fragmented data sets, connecting disparate records to provide a holistic view of potentially fraudulent entities.
- **Visual Investigation Tools: **Offers intuitive graph visualization interfaces to help compliance teams explore complex networks, trace transaction paths, and generate actionable intelligence.
- **Regulatory Compliance Support: **Facilitates adherence to AML regulations by automating suspicious activity reporting and audit trail generation.
- **Customizable Detection Rules: **Allows configuration of AML detection criteria and rules tailored to specific regulatory environments and organizational policies.
- **Case Management Integration: **Supports workflow management for investigations, enabling teams to track, prioritize, and resolve alerts efficiently.
- **High Performance and Security: **Built on TigerGraph’s high-performance platform ensuring fast queries and strong data protection aligned with enterprise security standards.