Fraud.net's AI and Machine Learning Models provide powerful tools for detecting and preventing fraud across various sectors.
Fraud.net harnesses the power of artificial intelligence and machine learning, including advanced methods like deep learning and neural networks. This unique approach integrates their own data science techniques to give you valuable insights that help you combat fraud effectively.
The platform offers a variety of applications designed to target both application-related fraud and transaction-related fraud. With features like 'Application AI' and 'Transaction AI,' it tailors solutions to address specific fraud challenges in real time.
Fraud.net also goes beyond traditional fraud detection by providing identity services and monitoring capabilities for banks and payment methods. It keeps an eye on threats like email compromise and taps into dark web and ISP intelligence to protect numerous well-established industries.
Along with these features, users have access to case management, analytics, and reporting tools that make it easier to stay organized and informed. To enhance security further, the platform includes multi-factor authentication, social media intelligence, and ongoing risk monitoring.
Recognizing that fraud comes in different forms, Fraud.net offers tailored solutions for a range of fraud types. This includes account takeovers, application fraud, business email compromise, collusion, and insider threats, among others. Their tools also cover essential banking functions like KYC/AML, payment fraud, and synthetic identity fraud, making sure your assets are well-protected.
As a bonus, Fraud.net provides a wealth of educational resources. Whether it’s case studies, fact sheets, industry reports, product release notes, webinars, or podcasts, there’s plenty to learn. They even have a handy 'fraud dictionary' to help you understand the terminology better.
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