Navigation Links
Feedzai Bulks Up Its Fraud Prevention Arsenal With Emailage
Date:10/13/2015

SAN MATEO, Calif., Oct. 13, 2015 /PRNewswire/ -- Feedzai, a data science company that uses real-time, machine-based learning to analyze big data and minimize risk in the financial industry, announced a new partnership today with Emailage, an innovative fraud prevention solution that gives merchants the ability to identify and leverage transactional risk based on a user's email address. The two companies will provide their mutual clients with a machine learning solution that combines email risk assessment with fraud risk scoring to streamline transaction approvals and prevent fraud.  

Click here to share this news on Twitter: http://ctt.ec/bPJGr

Emailage's Risk Assessment Solution assesses the probability that an email address will be linked to either a legitimate customer or a fraudulent transaction, and scores the email address based on its level of risk. This score is generated through an analysis of Emailage's vast network of partners and customers, a database of known good and fraudulent emails in its Global Risk Assessment Network, and proprietary machine learning algorithms.

With the Emailage partnership, email becomes another key source of data that Feedzai's machine learning software uses to detect fraud and minimize risks. Additional data sources used by Feedzai include session clickstream, access frequency, malware signatures, and social biometrics (as previously announced with partner Socure), among others.

"Emailage is proud to partner with the fintech innovators at Feedzai. Like Emailage, Feedzai is changing the way organizations leverage large amounts of data and state-of- the-art, machine learning algorithms to prevent fraud," said Rei Carvalho, CEO of Emailage. "Our solutions complement one another extremely well and customers will benefit from this integration immediately, without any software or hardware to install."

"Fraudsters get smarter as quickly as data comes in, and we need to be smarter, more nimble, and as thorough as possible – which means acquiring and analyzing all sources of data," said Nuno Sebastiao, CEO of Feedzai. "Email is a global data identifier already collected in nearly every transaction, and adding this layer to our evolving and growing sources of data that we analyze and assess to mitigate the risk of fraud in real-time makes our algorithms smarter and keeps commerce safer."

Feedzai's Fraud Prevention That Learns™ technology combines big data and machine learning to arm customers with the tools they need to distinguish normal from abnormal behaviors, which can predict and prevent losses in real-time. The complex event processing software aggregates and processes high-volume streams of big data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, product, location or POS device, with up to a three-year history of data behind it. This analysis and process helps acquirers, issuers, and retailers mitigate risk, guard every transaction, and preserve the customer experience.

Learn more about Feedzai at www.feedzai.com.

About Feedzai
Every day, the world produces petabytes of data, and Feedzai enables businesses to accurately analyze this information to keep their customers' data and transactions safe at any place in real-time. Customers use Feedzai's Fraud Prevention That Learns™ software to reduce risks associated with banking and shopping, whether it's in person, online or via mobile devices, by detecting fraud through deep historical and behavioral analysis of the organization's data. Feedzai's customers, consisting of payment networks, processors, banks, and retailers have found that Feedzai's machine learning software detects fraud by as much as 10 days earlier than other solutions and exposes up to 60 percent more fraud cases with lower false alarms, which can save millions of dollars in fraud loss. Feedzai is a global company with US headquarters in San Mateo, and is backed by OAK HC/FT, Sapphire Ventures, Data Collective and other international investors. For additional information, visit http://www.feedzai.com.

About Emailage
Emailage provides intelligent fraud risk assessment using email address as the key data element to identify transactional risk and streamline transaction approvals. Our solution leverages its vast global consortium of data across all industries and utilizes powerful machine learning methods to interpret the key elements and characteristics of a fraudulent transaction. We are a scalable, enterprise SaaS technology that can be easily implemented and integrated through API or into existing fraud platforms to provide customized scoring rules that fit any workflow. Email addresses are universal data points that are already collected during most transactions. Put emails to work with Emailage to assess risk quickly, prevent fraud globally, and increase revenue. For more information, visit http://www.emailage.com.

 


'/>"/>
SOURCE Feedzai
Copyright©2015 PR Newswire.
All rights reserved


Related biology news :

1. NuData Security Achieves Significant Milestones, Furthers Commitment to Providing Unparalleled Online Fraud Detection
2. Polygraph Test Now Used to Protect Investors From Fraud
3. Online games and remote experiments could reduce scientific fraud, cherry-picking
4. Rooting out horse-meat fraud in the wake of a recent food scandal
5. Latest Biometrics Solutions Combat Rising Concern for Identity Theft by Implementing Fraud Protection Measures to Keep Consumers Identity Safe
6. NXT-ID Patents Offline Local Identity Validation and Fraud Prevention System
7. BioCatch Mobile Comes out of Beta, Providing Transparent Authentication and Fraud Detection Across All Digital Banking Platforms
8. How to prevent organic food fraud
9. Queens University awarded £500,000 to tackle global food fraud
10. BioCatch Featured in Gartners 2014 Online Fraud Detection Market Guide
11. Canadian Research Well Represented at HIV Prevention Conference
Post Your Comments:
*Name:
*Comment:
*Email:
(Date:4/11/2017)... , April 11, 2017 NXT-ID, Inc. ... technology company, announces the appointment of independent Directors Mr. ... to its Board of Directors, furthering the company,s corporate governance ... Gino ... we look forward to their guidance and benefiting from their ...
(Date:4/5/2017)... 2017 Today HYPR Corp. , leading ... component of the HYPR platform is officially FIDO® ... security architecture that empowers biometric authentication across Fortune 500 ... secured over 15 million users across the financial services ... home product suites and physical access represent a growing ...
(Date:4/3/2017)... , April 3, 2017  Data captured ... engineering platform, detected a statistically significant association ... prior to treatment and objective response of ... potential to predict whether cancer patients will ... treatment, as well as to improve both pre-infusion ...
Breaking Biology News(10 mins):
(Date:10/11/2017)... ... October 11, 2017 , ... Personal eye wash is a basic first aid supply ... a time. So which eye do you rinse first if a dangerous substance enters both ... Duo Eye Wash with its unique dual eye piece. , “Whether its dirt and ...
(Date:10/11/2017)... ... 11, 2017 , ... Proscia Inc ., a data ... titled, “Pathology is going digital. Is your lab ready?” with Dr. Nicolas Cacciabeve, ... and how Proscia improves lab economics and realizes an increase in diagnostic confidence.* ...
(Date:10/11/2017)... LAGUNA HILLS, Calif. , Oct. 11, 2017 /PRNewswire/ ... London (ICR) and University of ... tool to risk-stratify patients with multiple myeloma (MM), in a ... . The University of Leeds is ... Myeloma UK, and ICR will perform the testing services to ...
(Date:10/11/2017)... ... October 11, 2017 , ... A new study published ... frozen and fresh in vitro fertilization (IVF) transfer cycles. The multi-center ... success. , After comparing the results from the fresh and frozen transfer cohorts, ...
Breaking Biology Technology: