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Description
In the modern era, enterprises that leverage digital transformation primarily conduct their operations online and in real-time, minimizing the need for human involvement. While this strategy significantly lowers expenses and enhances customer satisfaction, it simultaneously opens the door to substantial risks of fraud perpetrated by savvy individuals who exploit the online environment's inherent anonymity and ease of access. For instance, in the realm of e-commerce, fraudulent transactions can arise from hacked accounts and pilfered payment information. Additionally, various forms of deception may include account takeovers, misuse of complimentary trials, fake reviews for products, warranty abuses, refund scams, reseller fraud, and exploitation of discount programs. These fraudulent actions can severely impact both the bottom line and the brand reputation of the business. Unlike in the early days of the internet, today's fraudulent schemes are often executed by organized, well-funded groups of professionals who are adept at navigating online systems. The evolving landscape of cyber threats necessitates a proactive approach to safeguard against these sophisticated fraud tactics.
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.
API Access
Has API
API Access
Has API
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Microsoft Dynamics 365
Integrations
Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Microsoft Dynamics 365
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
Microsoft
Founded
1985
Country
United States
Website
learn.microsoft.com/en-us/dynamics365/fraud-protection/
Vendor Details
Company Name
Mastercard
Founded
1966
Country
United States
Website
ekata.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