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What is Ekata?

Detecting and preventing the creation of fake user accounts is crucial in order to protect loyalty programs from those attempting to take advantage of them. Organizations can significantly improve their risk evaluation processes by cross-referencing customer data with trustworthy external sources. To combat payment fraud effectively, it is essential to make accurate risk judgments at every phase of the transaction, whether it be prior to, during, or following authorization. Simplifying the authorization process is key to reducing friction for customers as they make purchases. The Ekata Identity Engine employs sophisticated data science and machine learning methods to merge two distinct datasets: the Ekata Identity Graph and the Ekata Identity Network. These datasets emphasize critical identity features, converting them into actionable insights that enable businesses to conduct thorough risk assessments of their customers. By validating a larger volume of legitimate interactions, companies can broaden and sustain their customer base. Furthermore, identifying more fraudulent activities allows organizations to protect their financial assets more effectively. Swift risk evaluations facilitate the approval of additional legitimate transactions, thus ensuring the prevention of fraud while simultaneously embracing more reliable customers. This strategy not only enhances security protocols but also fosters improved customer satisfaction and loyalty over time, which can lead to long-lasting business success. The combination of advanced technology and thoughtful risk management creates a more secure and efficient transaction environment for everyone involved.

What is Dynamics 365 Fraud Protection?

In today's digital age, businesses that embrace digital transformation primarily operate online in real-time, which significantly reduces the reliance on human intervention. This approach not only cuts costs and improves customer experiences but also exposes companies to considerable risks associated with fraud from individuals who take advantage of the anonymity and accessibility of the internet. For example, in e-commerce, fraudulent activities can stem from compromised accounts and stolen financial details. Moreover, deception can manifest in various ways, such as account hijacking, improper use of free trials, fraudulent product reviews, warranty exploitation, refund scams, resale fraud, and manipulation of discount schemes. Such fraudulent behaviors can have detrimental effects on both a company’s financial performance and its reputation in the marketplace. Unlike in the early internet days, when fraudulent acts were often isolated incidents, contemporary scams are frequently carried out by organized, well-resourced groups of professionals skilled in exploiting online systems. As cyber threats continue to evolve, it is crucial for organizations to adopt a proactive strategy to effectively protect themselves against these advanced fraud tactics. The need for enhanced security measures and vigilant monitoring has never been more critical in safeguarding business interests.

Media

Media

Integrations Supported

Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Microsoft Dynamics 365
My DSO Manager
Rayven
TruNarrative

Integrations Supported

Accertify
Cybersource
Dataview360
Decisimo
Equifax BusinessConnect
Experian Identity Verification
Feedzai
Fraud.net
Kount
Microsoft Dynamics 365
My DSO Manager
Rayven
TruNarrative

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mastercard

Date Founded

1966

Company Location

United States

Company Website

ekata.com

Company Facts

Organization Name

Microsoft

Date Founded

1985

Company Location

United States

Company Website

learn.microsoft.com/en-us/dynamics365/fraud-protection/

Categories and 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

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