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FraudNet is an enterprise fraud detection and risk management platform designed to help organizations identify prevent and manage financial crime. The platform combines real time transaction monitoring entity screening entity monitoring compliance workflows and risk decisioning in one integrated system. Its AI native architecture uses supervised machine learning anomaly detection graph neural networks generative AI and continuous learning loops to adapt to changing fraud patterns and business requirements. Key features include a no code rules engine customizable dashboards flexible machine learning models advanced analytics comprehensive reporting intelligent decisioning case management data orchestration and data enrichment. FraudNet also provides access to a Global Anti Fraud Network that supports faster and more informed risk decisions across payment types channels and regions. The platform is designed for payments companies financial institutions fintechs and commerce businesses. Reported outcomes include up to 97 percent fewer false positives an 80 percent reduction in fraud and a 20 percent improvement in approvals and revenue. FraudNet supports fraud prevention entity risk management AML KYC regulatory compliance and broader enterprise risk operations. Pricing is not publicly listed and the company directs prospective customers to request a free demonstration and speak with a solutions advisor.
