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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Enhance your decision-making regarding fraud and payments by focusing on the unique fraud challenges your business encounters with a tailored solution. Utilize a blend of advanced technologies to thwart fraudulent activities, while optimizing operations to allow automated systems to handle the routine tasks. Leverage link analysis to foresee and prevent fraudulent transactions effectively. Design and modify rules that align with your organization's goals and priorities. Validate user information against our extensive database of identified fraudsters, ensuring your defenses remain robust. Our adaptable platform is equipped to meet your evolving fraud issues, providing reliable solutions, insightful analysis, and strategic recommendations to address current and future fraud threats. We simplify the payment process for both merchants and payment service providers, offering enhanced oversight of the authentication procedure through our fully-accredited 3DS Server and SDKs. When integrated with our fraud detection mechanisms, we effectively neutralize malicious activities, guaranteeing your customers enjoy an unparalleled experience while shopping. By investing in our solutions, you are not only safeguarding your business but also fostering trust with your clientele.

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

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$1300.00/month
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

Ravelin Technology

Country

United Kingdom

Website

www.ravelin.com

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

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Alternatives

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