Ratings and Reviews 56 Ratings
Ratings and Reviews 0 Ratings
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 Thomson Reuters CLEAR?
Thomson Reuters CLEAR® leverages a broad spectrum of data points alongside sophisticated public records technology to consolidate vital information within a tailored dashboard. This platform empowers users to discover hard-to-find details and rapidly identify potential concerns regarding individuals and organizations, aiding in the determination of whether further investigation is necessary. Built with user-friendliness in mind, it boasts intuitive navigation and simple filtering capabilities, enabling quick searches across a multitude of data sets, yielding accurate results in a fraction of the usual time. Its design facilitates effortless exploration, allowing users to conduct simultaneous searches through diverse databases that encompass public, proprietary, and online sources. The all-encompassing "Search All" feature consolidates all databases into one unified search experience. Users have the option to refine their search outcomes by filtering out irrelevant information based on criteria such as date, age, and customizable “and/or” options. Additionally, the entity resolution function enhances search results by merging similar entries and eliminating duplicates, ensuring that the data corresponds closely with the user's search parameters, thereby amplifying the overall efficiency and effectiveness of the information retrieval process. As a result, this platform is an indispensable resource for professionals aiming to base their decisions on trustworthy and accurate data while navigating complex information landscapes.
Integrations Supported
Amazon QuickSight
BCT
Cloudsquare Lend
Ekata
Emailage
Epona365
Grabyo
Signifyd
TeleSign
TypingDNA
Integrations Supported
Amazon QuickSight
BCT
Cloudsquare Lend
Ekata
Emailage
Epona365
Grabyo
Signifyd
TeleSign
TypingDNA
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Fraud.net, Inc.
Date Founded
2016
Company Location
United States
Company Website
www.fraud.net
Company Facts
Organization Name
Thomson Reuters
Date Founded
2008
Company Location
Canada
Company Website
www.thomsonreuters.com/content/dam/openweb/documents/pdf/legal/fact-sheet/clear-brochure.pdf
Categories and Features
Click Fraud
Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
eCommerce
CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Fraud Detection
Access Security Management
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
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Payment Processing
ACH Check Transactions
Bitcoin Compatible
Debit Card Support
Gift Card Management
Mobile Payments
Online Payments
POS Transactions
Receipt Printing
Recurring Billing
Signature Capture
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Categories and Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Legal Research
AI / Machine Learning
Annotations
Brief Analytics
Case Alerts
Case Law Research
Change Tracking
Data Visualization
Filtering
Query Suggestions
Search History
Self-Service Search
Statutes Research
Tax Law Research
Third-Party Analysis Integration