Fraud prevention company SEON has launched new AI capabilities designed to reduce manual review time for fraud and AML teams. The new features include color-coded risk indicators, similarity ranking to identify connected users and automated investigation summaries that explain why activity was flagged.
The AI suite includes explainable scoring that shows what drives risk assessments, a natural language rule builder that allows analysts to create detection logic using plain English and an AML screening agent for identifying false positives.
“Fraud teams don’t only need more data; they need better context. By capturing risk signals at the earliest customer touchpoints, our AI turns massive data volumes into clear, actionable intelligence,” Tamas Kadar, co-founder and CEO of SEON, said in a news release.
The announcement follows the company’s recent $80 million Series C funding round led by Sixth Street Growth.
