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Average Ratings 0 Ratings
Description
IBM Safer Payments empowers organizations to design tailored, intuitive decision models that allow for quicker adaptation to new threats and enhanced fraud detection with improved accuracy and speed, all while eliminating the need for external vendors or data scientists. This solution greatly speeds up the optimization of modeling by offering the necessary analytics and simulation tools for ongoing business performance monitoring and adjustments to evolving fraud patterns. Clients experience impressive detection rates coupled with minimal false positives after integrating our system into their operations. Users can construct, evaluate, validate, and implement machine-learning models in just days instead of months, freeing them from vendor dependencies. The platform can process thousands of transactions every second, ensuring an enterprise-level solution that boasts 99.999% uptime and exceptional throughput. Its open architecture allows for the importation of detection models, model elements, and intellectual property, all while providing a comprehensive interface for developing new models. Additionally, it supports a wide range of data science, machine learning, or artificial intelligence methodologies, making it a versatile tool for any organization looking to enhance their payment security. Ultimately, this flexibility ensures that businesses can stay ahead of potential fraud threats more effectively than ever before.
Description
Fraud.com's aiReflex is a digital risk and trust solution designed to simplify your fraud defences, making life easier for you and safer and fairer for your customers.
aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud and improve customer trust.
Everything you need to eliminate transactional and application fraud, including:
- Transactional Orchestration
- Adaptive Rule Engine
- AI Engine (Supervised and Unsupervised Machine Learning)
- Simulation Engine
- Dynamic and static lists
- Journey-Time Orchestration
- OmniChannel Case Management
- Centralised Fraud Reporting
Contact us at fraud.com on how we can help you improve your fraud defence while reducing costs and improving customer experiences.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2
Amazon Web Services (AWS)
Udentify
fcase
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/safer-payments
Vendor Details
Company Name
Fraud.com
Founded
2022
Country
United Kingdom
Website
www.fraud.com/products/aireflex
Product 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
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
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