Ratings and Reviews 56 Ratings
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What is Fraud.net?
Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions.
Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies.
Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy.
Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.
What is DataVisor?
Elevate your fraud detection strategies and minimize financial losses by implementing an all-encompassing AI-powered solution that seamlessly combines diverse rules and multiple machine learning approaches to enhance detection effectiveness without adding complications. Leverage automated investigation tools equipped with sophisticated analytics and visual insights to enable prompt decision-making and swift responses. Effortlessly maintain transparency and meet compliance standards with convenient one-click reporting functionalities. Protect your business's growth trajectory and the introduction of new offerings by utilizing a flexible and open platform that supports expansion across various business units and diverse applications. This robust suite of solutions, crafted with a cloud-first mentality, is designed to manage large volumes of digital data in real time, thereby improving detection accuracy and enabling rapid responses to emerging fraud threats within a cohesive, multi-tenant enterprise setting. Furthermore, the platform's inherent flexibility guarantees it can adapt to evolving market trends, equipping businesses with essential tools to remain competitive and proactive in the face of potential challenges. By investing in this innovative solution, organizations can foster resilience and ensure sustainable growth in an ever-changing landscape.
API Availability
Has API
API Availability
Pricing Information
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Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Mac
Linux
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Fraud.net, Inc.
Date Founded
2016
Company Location
United States
Company Website
www.fraud.net
Company Facts
Organization Name
DataVisor
Date Founded
2013
Company Location
United States
Company Website
www.datavisor.com
Categories and Features
AML
Not specified
Click Fraud
Activity Monitoring
IP Address Monitoring
Risk Assessment
Data Visualization
Not specified
Decision Support
Not specified
Deep Learning
Not specified
eCommerce
Order Management
Returns Management
eCommerce Fraud Protection
Not specified
Financial Risk Management
Compliance Management
Operational Risk Management
Fraud Detection
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Machine Learning
Deep Learning
Payment Processing
Not specified
Predictive Analytics
AI / Machine Learning
Data Mining
Categories and Features
AML
Not specified
Check Fraud
Not specified
eCommerce Fraud Protection
Not specified
Financial Risk Management
Not specified
Fraud Detection
Not specified
KYC
Not specified
RegTech
Not specified