Optimizing Fraud Management with AI Knowledge Graphs

The scope of fraud management for financial crimes has reached global proportions. Financial service organizations are contending with measures for Anti-Money Laundering (AML),Suspicious Activity Reports (SAR), counterfeiting and social engineering falsities, as well as synthetic, first-party, and card-not-present fraud. Such activities have spanned national and international borders.

The visual capabilities of graph analytics are ideal for monitoring, categorizing, and predicting threats to maximize prevention efforts. Graph techniques such as cluster analytics enable fraud management teams to visualize the distribution and acuteness of specific actors or fraud instances…

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