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Fraud.net—AI-powered fraud detection for smarter business decisions.
Fraud.net
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AI-powered fraud detection for smarter business decisions.
Most popular alternative: Chainaware (29 saves)
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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.
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Releases
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May 17, 2023
Deleted user
Initial release of Fraud.net.
Pricing
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Prompts & Results
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Fraud.net was manually vetted by our editorial team and was first featured on May 17th 2023.
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Pros and Cons
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
View 38 more pros
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
View 5 more cons
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Q&A
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.
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.
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.
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.
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.
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.
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