KYC Risk Assessment: How Graph Analytics Strengthens Know-Your-Customer
Blog post from TigerGraph
Traditional KYC platforms, which are adept at attribute-level checks like identity verification and risk scoring, often struggle with resolving complex ownership chains and counterparty networks where significant risks may lie. Graph analytics addresses these limitations by storing customers, beneficial owners, and related entities as part of a connected network, enabling real-time queries across multiple relationship layers. This approach enhances KYC processes by providing deep beneficial ownership resolution, network-context risk scoring, and perpetual monitoring, which adapt to changes rather than relying on periodic reviews. Graph databases enable a comprehensive understanding of customer risk by making hidden relationships visible and actionable, thereby meeting regulatory expectations for institutions to understand the networks surrounding their customers. As exemplified by TigerGraph, such graph-powered KYC solutions are designed to complement existing systems, adding a relationship intelligence layer that aids in compliance and risk management across various financial services contexts.
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