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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
Join over 500 million users who have already harnessed the power of Group-IB's Fraud Protection solution, utilizing advanced fraud intelligence, device fingerprinting, and behavioral analysis to combat sophisticated digital fraud effectively. Safeguard your business against a multitude of fraud attempts through state-of-the-art detection capabilities. Automate threat responses to minimize the impact of fraud while taking proactive measures to prevent future incidents. Enhance user satisfaction and trust with secure, seamless interactions that prioritize customer experience. Employ automated defense mechanisms to effectively counter AI-driven attack strategies. Traditional methods often emphasize the detection of anomalies, which can lead to an increased number of false positives that mistakenly label legitimate user actions as suspicious, ultimately inconveniencing genuine users and wasting crucial resources. In contrast, Group-IB Fraud Protection adopts a more strategic approach by emphasizing user authentication prior to engaging in fraud detection, ensuring a smoother and more reliable experience for all users. This unique methodology not only enhances security but also fosters a more positive interaction between users and businesses.
API Access
Has API
API Access
Has API
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Group-IB Unified Risk Platform
Kount
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Group-IB Unified Risk Platform
Kount
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
Group-IB
Founded
2003
Country
United States
Website
www.group-ib.com/products/fraud-protection/
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