Fraud.net
4.7 out of 5 starsRatings and Reviews 0 Ratings
Ratings and Reviews 57 Ratings
What is IBM Safer Payments?
IBM Safer Payments enables organizations to create personalized and user-friendly decision models that facilitate rapid responses to emerging threats while improving fraud detection accuracy and speed, without the reliance on external vendors or data scientists. This innovative solution significantly accelerates the modeling optimization process by providing essential analytics and simulation tools that support continual monitoring of business performance and adjustments to changing fraud patterns. Clients benefit from remarkable detection rates and a reduction in false positives upon integrating this system into their workflows. Users have the capability to build, assess, validate, and deploy machine-learning models within days rather than months, thereby eliminating vendor dependency. The platform is capable of handling thousands of transactions per second, delivering an enterprise-level solution with an impressive 99.999% uptime and outstanding throughput. Its open architecture allows for seamless importation of detection models, model components, and proprietary insights, all while offering a comprehensive interface for the development of new models. Furthermore, it accommodates a diverse array of data science, machine learning, and artificial intelligence techniques, making it an adaptable resource for any organization seeking to bolster their payment security. The inherent flexibility of this platform ensures that businesses can proactively address potential fraud threats more efficiently than ever, ultimately leading to a more secure financial environment. As organizations continue to evolve, the ability to swiftly adapt to new security challenges becomes increasingly critical.
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.
Integrations Supported
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Get started for free.
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/safer-payments
Company Facts
Organization Name
Fraud.net, Inc.
Date Founded
2016
Company Location
United States
Company Website
www.fraud.net
Categories and Features
eCommerce Fraud Protection
Not specified
Fraud Detection
Not specified
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
Sales Prospecting
Not specified