Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Outseer Fraud Manager serves as a sophisticated platform for managing transactional risk, employing advanced machine learning techniques alongside a robust policy engine to effectively evaluate and minimize risks at every stage of the digital customer journey. By harnessing insights derived from cutting-edge data science technologies that have been validated in high-risk scenarios, businesses can better guard against emerging fraud patterns using exclusive consortium data. Users can take advantage of risk models that have been refined through analyzing billions of transactions across some of the largest financial institutions globally. This platform allows for seamless integration of insights derived from both authentication and payment transactions, enhancing risk scoring by incorporating both first-party and third-party data signals. With the capability to implement uniform risk controls across all customer interactions, businesses can utilize standardized risk scores to strike a balance between mitigating fraud, enhancing customer experience, and managing operational expenses. Additionally, it supports the implementation of policy adjustments in response to the ever-evolving landscape of threats. Continuous collaboration with our team of experts ensures ongoing improvements and enables comparative analysis with peers in similar sectors. Ultimately, this comprehensive approach empowers organizations to maintain a proactive stance against fraud while fostering trust with their customers.
Description
Rippleshot is a company focused on detecting and preventing fraud, utilizing advanced artificial intelligence and machine learning techniques to assist financial institutions in identifying and addressing card fraud proactively. Their main product, Sonar, processes millions of card transactions every day, helping to pinpoint compromised merchants and cards at risk, which allows for prompt and precise action against potential fraud cases. Furthermore, Rippleshot provides an AI-based tool that empowers financial institutions to develop effective fraud prevention rules without requiring extensive IT support. By implementing these innovative solutions, banks and credit unions can significantly lower fraud-related losses, avoid unnecessary card replacements, and improve the overall satisfaction of their cardholders. This company is reshaping the approach banks and credit unions take towards fraud detection through a cloud-driven technology that employs machine learning and data analysis, making it easier and faster to identify fraudulent activities. Their commitment to leveraging technology ensures that institutions stay ahead in the ongoing battle against fraud, reinforcing trust and security in financial transactions.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Outseer
Country
United States
Website
www.outseer.com/products/outseer-fraud-manager/
Vendor Details
Company Name
Rippleshot
Founded
2013
Country
United States
Website
www.rippleshot.com
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
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