Fraud.net's AI and Machine Learning Models offers an extensive range of solutions aimed at fraud detection and prevention. Leaning heavily on artificial intelligence and machine learning including deep learning and neural networks in combination with its proprietary data sciences methodology, the tool provides valuable insights to tackle fraud. It offers multiple facets of applications - 'Application AI' and 'Transaction AI' for application-related and transaction-related fraud. The solutions also encompass identity services and monitoring of banks and payment methods, email compromise, dark web and ISP intelligence for varied established industries. Additionally, it provides case management, analytics, and reporting solutions. Multi-factor authentication, social media intelligence, and continuous risk monitoring lend an added layer of security. Understanding the diverse needs, they offer different solutions for various fraud types including account takeover, application fraud, business email compromise, collusion, and insider threats among others. Critical banking functions like KYC/AML, payment fraud, and synthetic identity fraud also fall within their solution offerings, assuring a well-rounded asset protection platform. Resources available span from case studies, fact sheets, industry reports, product release notes to webinars, podcasts, and a dedicated 'fraud dictionary' for further education.