Category: Risk

Read and learn about fraud risk and how to reduce it with the following articles and posts by Ekata, a Mastercard company.

probabilistic identity matching

Ekata

A behind-the-scenes look into reason codes and how they fuel Pro Insight

Under the hood of Pro Insight is the Identity Engine, a key competitive differentiator across all Ekata products. But what exactly is it? A combination of sophisticated data science and machine learning, the Identity Engine combines two powerful and proprietary datasets. Our Identity Graph and Identity Network provide unique and valuable insights that allow businesses […]

3.28.2023
Risk Evaluation Process Standard Data Valuation

Ekata

What is a Standard Data Evaluation?

As one of our primary job functions, the Field Data Science (FDS) team works with the sales team and potential customers to assess the best way to prove the value of using Ekata in their production workflow through a standard risk assessment process. One of the ways to show this value is through an offline […]

3.15.2023
Assessing Data

Ekata

How Customer Outcomes Data Powers Customer Success

What is customer outcomes data? At its most simple level, a customer outcome is the result of knowing if a query to Ekata was associated with a “good” or “bad” event related to fraud that the customer might face. For example, if an ecommerce customer queries Ekata on transactional orders within their fraud decisioning workflow, […]

2.8.2023
Consumer Trust in eCommerce and the Digital Economy: Panel Wrap-Up – Mastercard Cyber Security Summit

Ekata

Surviving and Thriving the Digital Economy: Panel Wrap-Up - Mastercard Cyber Security Summit

September was a solid month for cyber security. Mere weeks after hosting the inaugural Mastercard Cyber and Security Summit in both Melbourne and Sydney, one of the largest cyber attacks in Australia’s history took place. As talks of reforms are being had in the wake of such a ransomware attack, one thing is clear. Consumer […]

10.23.2022
probabilistic identity matching

Ekata

How a Probabilistic Approach to Know Your Customer Increases Efficiency

Original author is Kurt Weiss, Director of Enterprise Sales at Ekata Working in the identity verification space, I am often asked by financial institutions for information regarding our “email-to-name” coverage. While I’ll take any opportunity to boast about how Ekata’s 20+ years of data sourcing has created one of the most intelligent identity graphs of […]

3.4.2021
Managing Ecommerce Risk to Increase Monthly Revenue

Ekata

Case Study: Reduced False Declines and Increased Monthly Revenue Through Ekata Risk Scores

While the approach to capturing fraud and false declines varies from company to company and from industry to industry, one thing is certain: implementing an end-to-end identity verification solution into your risk assessment model is essential (to reduce ecommerce risk). In this case study, Ekata performed a historical analysis on previous transactions accepted and declined […]

2.1.2021
Ekata Credit Risk and Fraud Risk Tools

Ekata

Ekata Executive Series, Part II: Trust Starts at the Source: Credit Risk Versus Fraud Risk

Welcome to Ekata’s Executive Series. In this series, our CEO, Rob Eleveld, will be outlining the dynamics we see developing in the global identity verification (IDV) market and highlight Ekata’s response to continuous market demands. Today, we are digging into the deterministic approach of credit risk and comparing it to the probabilistic approach of fraud […]

11.30.2020
risk management solutions address

Ekata

Validate and Evaluate the Risk of Any Address in Fractions of a Second

Risky addresses can cause businesses to incur high costs due to fraud, order reprocessing, customer care hours, customer loyalty, and more. For trust and safety teams, Address Risk API is designed to provide rich metadata and risk signals around any given address and help you predict whether your customer is engaging in fraudulent activity. Two […]

10.21.2020
Ekata Data Analysis Update

Ekata

Assessing Risk in Uncharted Times

Welcome to part two of a three-part series in which we look at the impacts of COVID-19 on digital commerce and fraud patterns, and insights our data provides on identifying fraudulent behavior. In our last blog, Where have all the Fraudsters Gone? we looked at data that showed overall ecommerce shopping trends are up, reflecting increased […]

6.16.2020

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