Fraud.net’s AI & Machine Learning Models leverage deep learning, neural networks & proprietary data science methodology to provide better insights for various industries, including financial services, e-commerce, travel & hospitality, insurance, and more.
The tool offers various solutions for companies, including application AI, transaction AI, identity services, and monitoring services. Application AI and Transaction AI can help businesses detect fraud in their application processes, while Identity Services provide verification tools such as address verification, identity verification, IP verification, and phone verification.
Monitoring Services include banks & payment methods, business email compromise, dark web intelligence, industry benchmarking, ISP intelligence, and continuous risk monitoring.
Apart from its solutions, Fraud.net’s tool offers various resources that companies can use, including downloads, case studies, fact sheets, and industry reports.
It also has videos and demos, blogs, webinars, podcasts, and even a fraud dictionary. Developers can also access the tool’s API documentation. Fraud.net’s AI & Machine Learning Models boast the capability of preventing different types of fraud, including account takeover, application fraud, synthetic identity fraud, call center fraud, marketing & affiliate fraud, mobile fraud, return fraud, and more.
The tool is built for CEOs and directors, technology and security officers, as well as fraud managers and analysts. Overall, Fraud.net’s AI & Machine Learning Models aim to help companies fight fraud more effectively and efficiently.