Fraud.net Explained: Features, Use Cases & Who It's For
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Fraud.net

Fraud.net provides AI and machine learning models that detect and prevent fraud across finance, e-commerce, insurance, and other industries.

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What is Fraud.net?

Fraud.net provides AI and machine learning models designed to detect and prevent fraud across many industries. The platform uses deep learning, neural networks, and proprietary data science methods to identify and stop fraudulent activity.

Its solutions serve sectors including financial services, e-commerce, travel, hospitality, insurance, wealth management, and consumer lending. The platform offers four core tools:

  • Application AI – screens fraud related to applications
  • Transaction AI – reviews transactions for signs of fraud
  • Identity Services – verifies addresses, identities, IPs, and phone numbers
  • Monitoring Services – provides ongoing risk assessment and intelligence

Fraud.net can detect many types of fraud, including account takeovers, application fraud, synthetic identity fraud, business email compromise, and collusion. It also supports KYC/AML processes, payment fraud detection, and mobile fraud prevention.

Additional capabilities include multi-factor authentication, continuous risk monitoring, dark web intelligence, ISP intelligence, and a Collective Intelligence Network for sharing fraud insights across organizations. A Fraud Dictionary helps users learn key terminology, and the company publishes case studies, industry reports, webinars, and API documentation for developers.

One caveat: the platform doesn’t always clearly adhere to data privacy regulations and may require significant setup to perform at its best.

Who created Fraud.net?

Shakti Jauhar, the CEO, created Fraud.net. The company’s goal is to provide AI and machine learning models that detect and prevent fraud across industries.

What is Fraud.net used for?

  • Detecting and preventing account takeovers, application fraud, synthetic identity fraud, and payment fraud
  • Screening applications and reviewing transactions with Application AI and Transaction AI
  • Verifying identities through Identity Services (address, identity, IP, phone)
  • Supporting KYC/AML compliance and multi-factor authentication
  • Continuously monitoring business risks and preventing e-commerce fraud
  • Sharing and leveraging insights via the Collective Intelligence Network

Who is Fraud.net for?

The platform is built for professionals who need a system to fight fraud, including CEOs and directors, technology and security officers, and fraud managers and analysts.

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