Ratings and Reviews 0 Ratings
Ratings and Reviews 56 Ratings
What is SAS Fraud Management?
Enhance your capacity to quickly address new threats while reducing the occurrence of false positives to elevate the overall experience for customers. Our all-encompassing system for detecting and preventing fraud is designed to serve multiple channels and industries, providing a centralized platform for comprehensive oversight across the enterprise. This innovative solution simplifies data integration, enabling you to combine internal, external, and third-party data to create a predictive model that is precisely aligned with the unique needs of your organization. By centralizing this information within a single technological infrastructure, you not only gain the flexibility to adjust or scale your operations as your business grows but also enable a more rapid reaction to any emerging threats. It is crucial to maintain awareness against the changing tactics and new types of fraud. By employing integrated machine learning methodologies, the solution can recognize and adapt to changes in behavioral patterns, resulting in robust and efficient detection models. Furthermore, key technological components facilitate the rapid identification of anomalies tailored to each individual customer, while in-memory processing ensures quick response times with high throughput and negligible latency, keeping your operations nimble and efficient. This comprehensive strategy not only protects your assets but also builds trust and enhances customer satisfaction, creating a strong foundation for long-term success in a dynamic environment. Moreover, continuous improvement and adaptation to market shifts will further solidify your position as a leader in fraud prevention.
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
Ekata
Emailage
SAS Fraud, AML & Security Intelligence
Signifyd
TeleSign
TypingDNA
Integrations Supported
Ekata
Emailage
SAS Fraud, AML & Security Intelligence
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
SAS
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/fraud-management.html
Company Facts
Organization Name
Fraud.net, Inc.
Date Founded
2016
Company Location
United States
Company Website
www.fraud.net
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
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