Fraud.net

What is Fraud.net?

Fraud.net is a provider of AI & Machine Learning Models that aim to offer insights and prevent fraud across various industries. Utilizing deep learning, neural networks, and proprietary data science methodology, Fraud.net detects and prevents fraudulent activities in sectors like financial services, e-commerce, travel, hospitality, insurance, and more. The platform offers solutions such as application AI, transaction AI, identity services, and monitoring services, supplemented by resources like case studies, industry reports, webinars, and API documentation for developers. It caters to professionals like CEOs, directors, technology officers, security officers, fraud managers, and analysts who require a robust system to combat fraud efficiently.

Fraud.net's AI models can benefit industries with high transactional activity and sensitive data such as financial services, e-commerce, travel and hospitality, insurance, wealth management, consumer lending, and more. The AI tool is capable of detecting a wide range of fraud types like account takeover, application fraud, synthetic identity fraud, business email compromise, and collusion, among others. It also provides solutions for KYC/AML processes, payment fraud detection, synthetic identity fraud prevention, and mobile fraud prevention. The platform offers features like multi-factor authentication, collective intelligence network for sharing insights, and a Fraud Dictionary for educational purposes.

Furthermore, Fraud.net leverages deep learning methodologies, neural network capabilities, and a variety of fraud detection services, including identity verification tools, multi-factor authentication, continuous risk monitoring, dark web intelligence, and ISP intelligence. It offers specialized solutions for e-commerce fraud and provides comprehensive reporting and analytics functionalities. While the platform emphasizes a focus on many fraud types, it does lack clear adherence to data privacy regulations and requires extensive setup for optimal effectiveness.

Who created Fraud.net?

Fraud.net was created by Shakti Jauhar, who is the CEO of the company. The company was launched on June 17, 2024, with a focus on providing AI and Machine Learning Models to detect and prevent fraud in various industries like financial services, e-commerce, travel, hospitality, and insurance. Fraud.net's solutions include application AI, transaction AI, identity services, and monitoring services. The company's tools utilize deep learning, neural networks, and proprietary data science methodologies for fraud detection and prevention.

What is Fraud.net used for?

• Enhancing business fraud competency
• Threat and risk reduction
• Account takeover prevention
• Application fraud prevention
• Synthetic identity fraud prevention
• Detecting payment fraud
• Multi-factor authentication support
• Continuous risk monitoring
• E-commerce fraud prevention
• KYC/AML processes assistance
• Transaction fraud detection
• Identity verification
• Payment fraud prevention
• Risk monitoring in business
• Application AI for screening application-related fraud
• Transaction AI for reviewing every transaction
• Identity Services for verification (address, identity, IP, phone)
• Monitoring Services for continuous risk monitoring and intelligence
• Collective Intelligence Network for sharing and leveraging collective intelligence
• KYC/AML capabilities for verifying client identity
• Multifactor authentication support
• Detection and prevention of payment fraud and synthetic identity fraud

Who is Fraud.net for?

• CEOs and directors
• Technology and security officers
• Fraud managers and analysts

How to use Fraud.net?

To use Fraud.net effectively, follow these steps:

1. Understanding Fraud.net's Purpose: Fraud.net provides AI and Machine Learning Models to detect and prevent fraud in various industries like financial services, e-commerce, and insurance. It relies on deep learning and neural networks.

2. Beneficial Industries: Various sectors like financial services, e-commerce, travel, insurance, wealth management, and more can benefit from Fraud.net's AI and Machine Learning Models due to high transactional activity and sensitive data involved.

3. Types of Fraud Detection: Fraud.net's AI tool can detect a wide range of fraud types including account takeover, application fraud, mobile fraud, and synthetic identity fraud, among others.

4. Key Features:

   • Application AI: Detects fraud in application processes efficiently.
   • Transaction AI: Reviews each transaction to capture fraudulent activities.
   • Identity Services: Validates user identities through various verification tools.
   • Monitoring Services: Provides continuous risk monitoring and intelligence on potential threats.

5. Engaging with Fraud.net:

   • Developers can interact through API documentation for seamless integration with existing systems.

6. Target Audience: The tool is designed for professionals like CEOs, technology officers, security officers, fraud managers, and analysts who require robust fraud prevention systems.

7. E-commerce Fraud Solutions:

   • Fraud.net offers specialized solutions for e-commerce fraud using AI and Machine Learning models to prevent potential fraudulent transactions.

8. Multi-Factor Authentication:

   • Fraud.net supports multi-factor authentication for added security against fraudulent access.

9. Assisting with KYC/AML:

   • Fraud.net aids in Know Your Customer (KYC) and Anti-Money Laundering (AML) processes to verify client identities and assess risks.

10. Resources:

• Fraud.net provides downloadable content, case studies, industry reports, and API documentation for developers, enhancing knowledge and implementation efficiency.

By following these steps, you can effectively utilize Fraud.net's AI and Machine Learning Models to safeguard your business against fraudulent activities.