Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Identify and prevent the establishment of fraudulent user accounts, effectively thwarting those who seek to exploit loyalty programs. By cross-referencing customer information with reliable data sources, organizations can enhance their confidence in evaluating risks. Combat payment fraud by making precise risk decisions at every stage of the transaction process, whether before, during, or after authorization. Streamline the authorization process to minimize customer friction during transactions. Utilizing advanced data science and machine learning techniques, the Ekata Identity Engine integrates two unique datasets: the Ekata Identity Graph and the Ekata Identity Network. These datasets focus on fundamental identity attributes, which are transformed into insights that empower businesses to make informed risk assessments regarding their clientele. By confirming a greater number of legitimate interactions, companies can effectively expand and maintain their customer base. Additionally, by capturing more instances of fraud, businesses can safeguard their financial interests. Rapid risk evaluations allow for the approval of more legitimate transactions, ensuring that fraudulent activities are blocked while simultaneously welcoming more trustworthy customers into the fold. Ultimately, this approach not only strengthens security measures but also enhances customer satisfaction and loyalty.
Description
Reduce fraudulent activities while increasing revenue through Fraugster's advanced AI-driven fraud protection solutions. Our technology offers precise real-time decision-making that enhances overall performance, business outcomes, and customer satisfaction. With Fraugster, merchants can effectively verify customer identities and evaluate fraud risk at every step of the customer journey, from account creation to the final checkout process. Our range of fraud protection solutions is conveniently accessible through a REST API, allowing you to select the most suitable option tailored to your needs and receive accurate decisions in just 15 milliseconds. Utilizing a behavioral science-based approach, our unique AI system replicates the reasoning of human analysts while benefiting from the scalability of machines. This ensures that genuine customers enjoy a seamless experience, while potential fraudulent transactions are effectively filtered out. Embracing Artificial Intelligence is essential for the future of fraud prevention, and with Fraugster's FraudFree, merchants can significantly enhance their operational performance and secure their revenue streams even further. By trusting in our solutions, businesses can confidently navigate the complexities of the digital marketplace.
API Access
Has API
API Access
Has API
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Payaut
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Payaut
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
Mastercard
Founded
1966
Country
United States
Website
ekata.com
Vendor Details
Company Name
Fraugster
Founded
2014
Country
Germany
Website
www.fraugster.com
Product Features
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