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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Preventing card-not-present (CNP) fraud is a crucial element for any thriving ecommerce business. AuthMax utilizes a vast array of transaction data to significantly enhance approval rates during initial transactions. By increasing approval rates and reducing instances of false positives for fraudulent activity, businesses can better retain customers and increase their revenue streams. While fraud prevention is vital, it is equally important to ensure that genuine customers receive outstanding service. AuthMax effectively reduces false declines and enhances CNP approval rates, allowing you to tap into your full revenue potential. Simply activate our seamless service and observe the surge in approval rates. Our platform draws on insights from over 40 billion transactions each year. The behavior-driven models we employ evolve continuously to further decrease false declines. By merging our expertise in global markets with a cutting-edge analytics framework, we have developed AuthMax. This comprehensive data science solution, which can be activated with ease, considers a wide array of factors related to authorization while optimizing your transaction process. With AuthMax, you not only enhance your fraud prevention efforts but also enrich the overall customer experience.

Description

In recent years, the significance of fraud detection and prevention has surged due to the increasing digitalization trends worldwide, particularly affecting financial systems. As innovative technologies and standards emerge, businesses face heightened challenges in safeguarding their clients from fraudulent activities while upholding their reputations. Consequently, the complexities surrounding fraud issues have intensified, necessitating a more advanced approach to address them effectively. With over two decades of expertise in the payments and anti-fraud sector, we provide comprehensive anti-fraud solutions tailored for banks, financial organizations, factoring firms, insurance providers, telecom companies, FMCG enterprises, and retail sectors. Our InACT® application is designed as a versatile tool that actively monitors and mitigates transactional fraud, prevents internal misuse, and identifies operational errors or transactions that violate legal standards. By implementing InACT®, institutions can ensure robust protection for both their operations and their customers against fraudulent activities, ultimately fostering trust and security in their 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

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

Worldpay

Founded

1993

Country

United States

Website

www.worldpay.com/en/products/authmax

Vendor Details

Company Name

Asseco Group

Founded

1989

Country

Poland

Website

asseco.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

Alternatives

Alternatives

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