Fraud.net leverages AI and Machine Learning Models, incorporating deep learning, neural networks, and a proprietary data science methodology to deliver enhanced insights across diverse industries like financial services, e-commerce, travel, hospitality, and insurance.
The tool offers a range of solutions tailored for businesses, including Application AI, Transaction AI, Identity Services, and Monitoring Services. Application AI and Transaction AI aid in fraud detection within application processes, while Identity Services offer verification tools such as address, identity, IP, and phone verification.
Monitoring Services cover aspects like bank and payment method monitoring, business email compromise, dark web intelligence, industry benchmarking, ISP intelligence, and continuous risk monitoring.
Beyond solutions, Fraud.net provides a wealth of resources, including downloads, case studies, fact sheets, and industry reports. It also offers videos, demos, blogs, webinars, podcasts, and a fraud dictionary. Developers can access the tool’s API documentation.
Fraud.net’s AI & Machine Learning Models excel in preventing various fraud types, including account takeover, application fraud, synthetic identity fraud, call center fraud, marketing and affiliate fraud, mobile fraud, return fraud, among others.
Designed for CEOs, directors, technology and security officers, as well as fraud managers and analysts, Fraud.net’s AI & Machine Learning Models are aimed at empowering companies to combat fraud with greater effectiveness and efficiency.
