Fraud.net is the leader in crowdsourced e-commerce fraud prevention, currently protecting over 2% of all US e-commerce. Its unified algorithmic architecture combines 1) collective intelligence, 2) cognitive computing (such as dynamic machine learning) and 3) rules-based decision engines to detect fraud in real-time, at scale. The platform delivers unprecedented business intelligence and embedded control through its comprehensive risk management and analytics solutions.
Fraud Solution Profile
Is the only cloud-based ‘glass-box’ system, offering a full and transparent presentation of the data, statistics, contextual variables, and other factors that power an automated or computer-assisted decision. The customer-centric, end-to-end solution can be implemented as a stand-alone system or used to augment the predictive capabilities of a client’s existing program. Fraud.net is also the only solution that effectively counters tough-to-detect ‘friendly fraud’ and provides a full suite of live fraud analytics and data-mining capabilities.
Fraud.net’s robust technology offers merchants:
Cutting-edge platform featuring industry-leading data management and analysis, petabyte-level storage, ultra-low-latency processing within a highly secure VPC environment
Leverages event-based computing, distributed processing, and massive parallel processing data warehouse
APIs search billions of records, conduct thousands of fraud checks and generate 99%+ scoring accuracy for each transaction, returning complete results in less than 300ms.
Machine Learning, Rules Engine