Any financial institution, e-commerce company, or service provider with a serious risk of fraud has invested in a portfolio of countermeasures, including transaction monitoring, risk profiles, rules engines, and machine learning. But organizations with the most to lose must counter increasingly sophisticated fraud attempts with increasingly sophisticated technology, most recently in the form of graph databases.
Join this interactive panel discussion on the relevance and practical application of graph data, graph databases, and associated techniques for battling advanced fraud.