Fraud.net

Leveraging AI & Machine Learning for Better Insights

fraud detection deep learning neural networks data sciences transaction AI application AI

Tool Information

Primary Task	Fraud detection
Category	business-and-finance
Sub Categories	fraud-detection cybersecurity machine-learning-models
API Available	Yes
Country	United States

Fraud.net's AI and Machine Learning Models offers an extensive range of solutions aimed at fraud detection and prevention. Leaning heavily on artificial intelligence and machine learning including deep learning and neural networks in combination with its proprietary data sciences methodology, the tool provides valuable insights to tackle fraud. It offers multiple facets of applications - 'Application AI' and 'Transaction AI' for application-related and transaction-related fraud. The solutions also encompass identity services and monitoring of banks and payment methods, email compromise, dark web and ISP intelligence for varied established industries. Additionally, it provides case management, analytics, and reporting solutions. Multi-factor authentication, social media intelligence, and continuous risk monitoring lend an added layer of security. Understanding the diverse needs, they offer different solutions for various fraud types including account takeover, application fraud, business email compromise, collusion, and insider threats among others. Critical banking functions like KYC/AML, payment fraud, and synthetic identity fraud also fall within their solution offerings, assuring a well-rounded asset protection platform. Resources available span from case studies, fact sheets, industry reports, product release notes to webinars, podcasts, and a dedicated 'fraud dictionary' for further education.

Fraud.net is a provider of fraud prevention and risk management solutions, founded in 2016 and headquartered in New York. The company focuses on helping businesses combat fraud through advanced technology. Its founders, Whitney Anderson and Cathy Ross, have extensive experience in financial services and e-commerce, which informs the development of their solutions.

The company offers a comprehensive fraud management platform tailored for digital enterprises and fintechs. This platform employs deep learning, collective intelligence, and real-time analytics to enable businesses to analyze vast amounts of data, track digital identities, and enhance decision-making. The modular design of the platform allows for seamless integration with various data and fraud management vendors, facilitating improved customer onboarding and transaction monitoring.

Fraud.net's solutions are utilized by banks, fintechs, and enterprises globally, and the company has received recognition for its innovation and growth from organizations like Accenture and Gartner. The leadership team, including CEO Whitney Anderson, brings a wealth of expertise in AI, security, and digital commerce.

Pros
Deep learning methodologies Neural network capabilities Extensive fraud detection services Identity verification tools Address phone IP verification Social media intelligence Multi-factor authentication Continuous risk monitoring Dark web intelligence ISP intelligence Variety of fraud detection Account takeover prevention Application fraud prevention Synthetic identity fraud prevention Return and mobile fraud prevention KYC/AML capabilities Access to informational resources Case studies videos webinars Available API documentation Email compromise prevention Wide variety of industry applications Capable of preventing various fraud Useful for decision makers Comprehensive reporting and analytics Useful for fraud managers and analysts Reporting and analytics capabilities Multi-factor authentication capabilities Insider threat prevention Collusion detection Payment fraud detection Offering solutions according to fraud types Employee fraud prevention Offers fraud dictionary Unique solutions for diverse needs Exceptional account takeover prevention Loan and credit fraud prevention Optimized for omnichannel fraud Industry-specific fraud solutions Collective intelligence network Enhancing business fraud competency Tailored resources for developers Product release notes Threat and risk reduction

Cons
Proprietary data science methodology Emphasis on many fraud types No clear adherence to data privacy regulations Requires extensive setup for effectiveness Relies heavily on user data Limited approach to international fraud Lack of multi-language support Focused on specific industries Complex implementation process Undefined update frequency of models

Management Team

Charles Crockett

COO

Rajeev Yadav

Chief Information Security Officer

Whitney Anderson

CEO & Co-Founder

Frequently Asked Questions

1. What is 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.

2. What industries can benefit from Fraud.net's AI and Machine Learning Models?

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.

3. What kinds of fraud can Fraud.net's AI tool detect?

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.

4. What are the key features of Fraud.net's Application AI and Transaction AI?

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.

5. How does Fraud.net's Identity Services work and what verification tools are included?

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.

6. What solutions does the Monitoring Services offer?

Monitoring Services by Fraud.net provide a continuous risk monitoring system and intelligence aspects associated with banks and payment methods, business email compromise, dark web and ISP. These services actively help in detecting potential red flags, benchmarking industry trends, and thereby mitigating risk.

7. What resources does Fraud.net provide for companies?

Fraud.net provides a range of resources for companies that include downloadable content, case studies, fact sheets, industry reports, videos and demos, blogs, webinars and podcasts. Moreover, there is a Fraud Dictionary for educational purposes.

8. How can developers interact with Fraud.net's tool?

Developers can interact with Fraud.net's tool through API documentation that is readily available. This allows integration with existing systems and leveraging Fraud.net's capabilities programmatically.

9. Who is Fraud.net's AI tool designed for?

Fraud.net's AI tool is designed for an array of professionals who require a robust and precise system to fight against fraud. This includes CEOs and directors, technology and security officers, as well as fraud managers and analysts.

10. Does Fraud.net's AI tool also offer solutions for e-commerce fraud?

Yes, Fraud.net's AI tool offers specialized solutions for e-commerce fraud among a variety of other fraud types. It uses AI and Machine Learning models to give insights into e-commerce transactions, helping businesses prevent potential fraud.

11. Does Fraud.net's tool support multi-factor authentication?

Yes, Fraud.net's tool does support multi-factor authentication. This adds an additional layer of security by requiring users to authenticate their identity by more than one verification method, thereby reducing fraudulent access.

12. Can Fraud.net detect and prevent payment fraud and synthetic identity fraud?

Yes, Fraud.net can detect and prevent payment fraud and synthetic identity fraud. It uses a mix of machine learning models and proprietary algorithms to detect abnormal transaction patterns, suspicious activities and synthetic identities, thereby reducing fraudulent transactions.

13. What is the Collective Intelligence Network solution from Fraud.net?

Fraud.net's Collective Intelligence Network solution is a module designed to enable businesses to share and leverage collective intelligence. It helps them spot patterns and correlations in data which can be further used to detect and prevent future fraud attempts.

14. Can Fraud.net's AI tool assist in KYC/AML processes?

Fraud.net's tool does assist in KYC (Know Your Customer) and AML (Anti-Money Laundering) processes. This helps businesses verify the identity of their clients and assess potential risks of illegal intentions towards the business relationship.

15. How does Fraud.net leverage social media intelligence?

Fraud.net leverages social media intelligence as one of the services under Identity Services. By crawling social network data, it adds another layer of verification and intelligence to detect fraudulent users.

16. What is the purpose of Fraud.net's Fraud Dictionary?

The purpose of Fraud.net's Fraud Dictionary is to provide a comprehensive source of information and common terminologies related to fraud detection and prevention. It's a great educational resource for businesses and individuals looking to increase their knowledge about fraud.

17. How does Fraud.net assist with risk monitoring in a business?

Fraud.net assists with risk monitoring within a business through its continuous risk monitoring service. It keeps a vigilant eye on potential risks, industry benchmarking, ISP intelligence and changes in market conditions, allowing businesses to get ahead of potential threats.

18. What kind of solutions does Fraud.net offer for account takeover attempts?

Fraud.net offers specialized solutions to prevent account takeover attempts. Leveraging AI and Machine Learning models, it can detect various indicators of account takeovers, thereby providing businesses with the tools to proactively prevent unauthorized access.

19. Does Fraud.net's AI tool provide any analytics and reporting solutions?

Yes, Fraud.net does offer analytics and reporting solutions as part of its services. These allow businesses to comprehensively analyze their risk components, identify fraud trends and patterns, and generate detailed reports, enabling them to make data-driven decisions.

20. How does Fraud.net's tool fight against mobile fraud?

Fraud.net fights against mobile fraud through its specialized solutions. Leveraging AI, it can identify fraudulent patterns across mobile platforms and suspicious mobile behavior, providing businesses with the necessary tools to proactively prevent any potential mobile fraud.