Anti-Money Laundering

TigerGraph for AML

Graph is a new way of storing and analyzing data and is especially advantageous for exploring and developing an understanding of any relationships, networks and patterns that may exist in the data set. Within AML compliance, graph can be applied in a wide range of areas, including:

  • Enhancing secondary screening of AML alerts to reduce false positive rate.

  • Assisting with AML case investigation to improve SAR quality.

  • Providing additional insights for customer due diligence (“CDD”) and know-your-customer (“KYC”) analysis.

TigerGraph differentiates itself from other graph solutions with its ability to scale for massive transaction volume (billions per day) and to perform the deepest analytics.