The Enterprise Risk Management Platform by Fraud.net is a centralized, modular system for managing fraud, risk, and compliance. It functions as a real-time decision engine using an entity-first approach, performing data orchestration to ingest and normalize signals from transactional activity, behavioral data, and a global data network into a unified risk data layer. The platform provides lifecycle risk coverage, including initial entity screening, continuous monitoring, and real-time transaction monitoring to detect risks such as account takeovers, identity theft, and payment fraud. Key operational functions include automated decisioning, case management, and tools for regulatory auditing and reporting.
The system’s AI-native architecture incorporates supervised machine learning, anomaly detection, graph neural networks, and generative AI within a continuous learning loop. It analyzes high-volume transactions to generate low-latency, context-driven risk scores, which power automated workflows for use cases like client onboarding, sanctions screening, anti-money laundering (AML), and know-your-customer (KYC) compliance. The platform includes a no-code rules engine and smart alert prioritization to manage false positives and streamline investigative workflows.
