Fraud.net harnesses the power of AI and Machine Learning Models, employing cutting-edge deep learning, neural networks, and a proprietary data science methodology to deliver advanced insights across a spectrum of industries. These encompass vital sectors like financial services, e-commerce, travel and hospitality, insurance, and beyond.

This multifaceted tool provides an array of solutions designed to bolster companies’ defenses against fraudulent activities. Its offerings encompass Application AI, Transaction AI, Identity Services, and Monitoring Services. Application AI and Transaction AI serve as formidable guardians, enabling businesses to uncover fraudulent activities within their application processes. Identity Services, on the other hand, equip organizations with indispensable verification tools, including address verification, identity verification, IP verification, and phone verification.

The suite of Monitoring Services encompasses a wide gamut, encompassing aspects such as banks and payment methods, business email compromise, dark web intelligence, industry benchmarking, ISP intelligence, and continuous risk monitoring.

Beyond its solution suite, Fraud.net delivers an extensive repository of valuable resources at companies’ disposal. These include downloads, case studies, fact sheets, and comprehensive industry reports. Furthermore, the platform offers an extensive array of multimedia assets, such as videos and demos, enlightening blogs, engaging webinars, insightful podcasts, and even a dedicated fraud dictionary.

Developers can seamlessly tap into the tool’s API documentation, enhancing integration and customization possibilities. With its AI and Machine Learning Models at the helm, Fraud.net stands as a formidable guardian against a diverse array of fraud types, spanning account takeover, application fraud, synthetic identity fraud, call center fraud, marketing and affiliate fraud, mobile fraud, return fraud, and more.

Designed to cater to the needs of CEOs, directors, technology and security officers, as well as fraud managers and analysts, Fraud.net’s AI and Machine Learning Models coalesce to furnish companies with enhanced capabilities to combat fraud more effectively and efficiently.