Fraud.net

Fraud.net is a provider of AI & Machine Learning Models designed to offer better insights and prevent fraud in various industries. It relies on deep learning, neural networks, and proprietary data science methodology to detect and prevent fraudulent activities. Its tool is particularly useful in industries like financial services, e-commerce, travel and hospitality, insurance among others. Fraud.net offers multiple solutions including application AI, transaction AI, identity services, and monitoring services. It additionally provides resources such as case studies, fact sheets, industry reports and webinars, along with API documentation for developers.

Fraud.net's AI and Machine Learning Models can benefit various industries, especially those with high transactional activity or sensitive data. These include financial services, e-commerce, travel and hospitality, insurance, wealth management, marketplaces, consumer lending, gaming, government, and telecommunications industries.

Fraud.net's AI tool can detect multiple types of fraud, such as account takeover, application fraud, synthetic identity fraud, call center fraud, marketing and affiliate fraud, mobile fraud, return fraud, business email compromise and collusion among others. Infact, even critical banking functions like KYC/AML, payment fraud, and synthetic identity fraud fall within their solution offerings.

Fraud.net's Application AI and Transaction AI offer solutions for detecting fraud in application processes and transactions. Application AI aids in screening application-related fraud instantly and accurately, thereby allowing businesses to onboard legitimate customers without any hassle. Transaction AI, on the other hand, reviews every transaction using an array of detection tools to capture fraudulent activities and prevent potential attacks.

Fraud.net's Identity Services function as a verification system offering various tools like address verification, identity verification, IP verification, and phone verification. These services accurately validate the authenticity of user identities, thereby restricting unauthorized access and reducing fraudulent activities.