Card Recon Reviews & Ratings

Card Recon

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
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Ratings and Reviews 2 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Rippleshot?

Rippleshot is a company dedicated to fraud detection and prevention, leveraging cutting-edge artificial intelligence and machine learning methods to aid financial institutions in proactively identifying and managing card fraud. Their flagship product, Sonar, analyzes millions of card transactions daily, effectively identifying compromised merchants and at-risk cards, which enables swift and accurate responses to potential fraud incidents. In addition, Rippleshot offers an AI-driven tool that allows financial institutions to implement effective fraud prevention strategies without needing extensive IT resources. By adopting these state-of-the-art solutions, banks and credit unions can substantially reduce losses related to fraud, minimize unnecessary card replacements, and enhance the overall experience for their cardholders. Through innovative, cloud-based technology that harnesses machine learning and data analytics, Rippleshot is transforming how financial institutions approach fraud detection, making it quicker and more efficient to uncover fraudulent activities. Their ongoing dedication to utilizing advanced technology not only helps institutions stay ahead in the relentless fight against fraud but also strengthens the trust and security associated with financial transactions, ultimately benefiting consumers and financial entities alike. As the landscape of fraud continues to evolve, Rippleshot remains committed to refining its offerings, ensuring that financial institutions are well-equipped to tackle emerging challenges effectively.

What is Card Recon?

Card Recon, developed by Ground Labs, stands out as the go-to cardholder data discovery solution for over 300 PCI Qualified Secure Assessors (QSAs) and PCI Forensic Investigators (PFIs). This tool is widely recognized and utilized in more than 80 countries, with over 4,500 merchants relying on it for efficient credit card data discovery. Ground Labs provides two top-tier scanning options tailored for small to medium-sized businesses: Card Recon Server and Card Recon Desktop. The software effectively scans through files, memory, and even deleted locations on both workstations and file servers (specifically with Card Recon Server), meticulously examining hundreds of file types to pinpoint credit card numbers from the ten leading payment card companies. Moreover, Card Recon boasts custom-built capabilities for PCI compliance data detection, adeptly identifying credit card numbers from major card brands and recognizing over 160 unique primary account number (PAN) formats worldwide. This level of precision and reliability makes Card Recon an indispensable tool for businesses aiming to maintain compliance and protect customer data.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Rippleshot

Date Founded

2013

Company Location

United States

Company Website

www.rippleshot.com

Company Facts

Organization Name

Ground Labs

Company Location

United States

Company Website

www.groundlabs.com

Categories and Features

Fraud Detection

Not specified

Categories and Features

Data Discovery

Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification
Visual Analytics

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