Fraud.net Reviews & Ratings

Fraud.net

4.7 out of 5 stars
Company Website for Fraud.net

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 57 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

What is GBG Instinct Hub?

Instinct Hub functions as an all-encompassing solution for managing risks related to fraud and compliance, specifically tailored to aid in combating financial crimes during the customer onboarding phase across multiple channels. In light of the ever-evolving nature of cyber and financial threats, it becomes crucial to implement a nimble and forward-thinking strategy for fraud prevention. Instinct Hub provides users with the necessary tools to proficiently identify and counteract onboarding fraud, utilizing adaptive machine learning alongside advanced risk assessment capabilities. By revealing subtle risk indicators and unusual patterns, the platform enables you to spot potential fraudulent activities, leveraging sophisticated analytics, alternative intelligence sources, and ongoing account monitoring throughout the customer journey. Improve your fraud detection skills and enhance decision-making processes by integrating additional insights gained from phone, email, IP, device, and behavioral risk assessments offered by the intelligence center. This platform is meticulously designed for swift and scalable deployment, ensuring it meets your financial crime prevention goals and operational needs. Furthermore, this flexibility empowers organizations to rapidly address emerging threats, keeping pace with a constantly shifting regulatory landscape while safeguarding their customers.

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.

Media

Media

Integrations Supported

Integrations Supported

Ekata
Emailage
Signifyd
TeleSign
TypingDNA

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
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

GBG Plc

Date Founded

1989

Company Location

United Kingdom

Company Website

www.gbgplc.com/apac/products/fraud-risk-management-platform/

Company Facts

Organization Name

Fraud.net, Inc.

Date Founded

2016

Company Location

United States

Company Website

www.fraud.net

Categories and Features

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

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

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