Fraud.net-LOGO-1_Picture

Fraud.Net, Inc

Fraud.net operates an end-to-end fraud prevention and risk management platform for leading financial services, payments, and commerce companies worldwide.  Our cloud-based platform enables enterprises to detect and prevent fraud, money laundering, and other financial crimes, and automates customer screening and onboarding to streamline AML, KYC and other compliance workflows.

Location:New York, NY, United States
Founded: 2016

Fraud Solution Profile

Fraud.net operates an advanced, end-to-end fraud prevention and risk management platform for leading financial services, payments, and commerce companies worldwide. Our cloud-based platform enables enterprises to detect and prevent fraud, money laundering, and other financial crimes, and automates customer screening and onboarding to streamline AML, KYC and other compliance workflows.

Delivering an average 400% ROI, Fraud.net is the high-performance and low-cost leader in enterprise fraud detection for the financial services & digital commerce sectors.  Fraud.net is recognized as a top Online Fraud Detection vendor by industry analysts including Gartner and Datos-Insights. 

With a no-code/low-code architecture, Fraud.net natively integrates data and tools from leading risk management vendors, leverages our proprietary risk consortium and builds custom-tailored AI models, enabling companies to make safer, smarter, and more profitable decisions.

Key Features

  • Entity Screening: Comprehensive screening of businesses and individuals to assess risk at onboarding.
  • Entity Monitoring: Continuous monitoring to detect any changes or anomalies in behavior over time.
  • Transaction Monitoring: Real-time analysis of transactions to identify and prevent fraudulent activities.
  • Scalability: Our cloud-based, AI and machine learning powered platform grows with your business as you gain more customers and partners.

Unique Capabilities

Fraud.net’s unique combination of “Entity Screening + Entity Monitoring + Transaction Monitoring (FRAML)” delivers  the first enterprise platform to counter the growing wave of Gen AI-driven fraud and financial crime. Our end-to-end solution gives enterprises a full lifecycle view of their business and customer relationships, enabling more informed risk decisions, while automating screening and onboarding to streamline AML, KYC and other compliance workflows. We offer innovative ways to evaluate risk vectors from customers, partners (merchants, suppliers, businesses), and their counterparties.

A Comprehensive, Holistic Solution

Unlike other businesses that adopt a simplified, point-solution approach to fraud prevention, Fraud.net provides a holistic solution. We listen intently to our clients, working closely with them to understand their goals and improve their processes. Our platform allows clients to risk assess every instance of money movement among clients, partners, and customers and analyze every conceivable identity and transaction element.

This results in industry-leading decision accuracy rates, true positive rates, and workflow efficiency rates, typically improving these metrics by 80%-99%. Coupled with best-in-class customer support (nearly 100% gross retention rate) and onboarding in less than 30 days, Fraud.net now protects hundreds of the world’s leading brands from fraud, money laundering, and financial crime.

Fraud.net’s battle-hardened platform, based on cooperative AI-driven solutions, has detected and prevented billions of dollars in fraud, making it essential in today’s digital economy.  We are committed to providing a comprehensive, scalable, and technologically advanced solution to combat fraud and financial crime, ensuring the security and compliance of businesses worldwide.

Learn more at Fraud.net.

 Customers

Riverty / Afterpay
Citibank
Mastercard
Boku
Uniteller

 

 Industry
Ecommerce, Financial Services, Insurance
 Primary Functionality
Fraud & AML Platform
 Fraud Type
Account Takeover, KYC & AML, Loyalty or Promo Abuse, New Account Fraud, Payment Fraud, Synthetic Identity Fraud
 Technology
Behavioral Biometrics, Machine Learning, Multi-Factor Authentication, Rules Engine