Compare Broadcom Merchant Risk Analytics vs. Nudetect

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Find out what your peers are saying about ThreatMetrix, NICE, Forter and others in Fraud Detection and Prevention. Updated: March 2021.
475,291 professionals have used our research since 2012.
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Also Known As
Nudata Nudetect
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Overview

Gain real-time visibility and control over all your eCommerce transactions.

You want Payment Security that doesn’t get in the way of business. With Merchant Risk Analytics, you get just that—a fraud prevention solution that stops illicit transactions in real time, without disrupting the customer experience.

Our global consortium network and industry-leading data science enable highly accurate decision-making. And our patented predictive analytics take advantage of the rich data provided through the EMV® 3-D Secure protocol.

With Merchant Risk Analytics, your business benefits from CA Technologies, A Broadcom Company leadership in fighting card-not-present (CNP) fraud through the combination of:

-Billions of transactions authenticated
-Patented neural network models
-Powerful risk learning and scoring
-Unsurpassed expertise in 3-D Secure

Our instant analysis of multidimensional, large-scale data enables transparent fraud assessment during transactions—not after. Even better, our unique machine learning capabilities mean each assessment is a little smarter than the last.
Now you can have the insights you need to reduce losses as well as false declines.

Recognize your known user
Build a strong relationship with your good customer with NuDetect.
With our +99% accuracy, you avoid false declines and unnecessary friction. Treat your good customers with the trust they deserve.

Cut down account takeover
Block high-risk traffic in real time and stop future fraud.
Continuously protect your customers and your business from account takeover with no friction on your good users, even if legitimate stolen credentials are presented.

Protect beyond the login
Uncover all the fraud that hides in your environment. Bad actors are getting creative by attacking where nobody is watching – or so they think. NuDetect monitors all the activity in a session – not just at the login stage – for more in-depth visibility.

Reduce friction, reduce risk
Increase your users’ loyalty with less friction. NuDetect creates a user risk score to help you find out who your good customers are. Use this score to safely waive friction and fast-track your validated users. Leave friction for high-risk traffic only.

Deconstructing fake identities
Fraudsters buy breached data to create fake accounts and use them for future fraud. Our Trust Consortium gathers billions of data points to identify those new fake accounts. NuDetect flags these accounts for you so you can close them and avoid future fraud.

Scale limitlessly on the cloud
Deploy anywhere with the support of AWS, Azure, GCP, or even your own data center. Reduce risk with enterprise-grade security controls. Enjoy the costs savings of on-demand computing.

Offer
Learn more about Broadcom Merchant Risk Analytics
Learn more about Nudetect
Sample Customers
Westchester County, First Horizon, Intellinet, Invercap
Clydesdale Bank (incorporating Yorkshire Bank), Danske Bank, Metro Bank, Monzo Bank, Starling Bank.
Find out what your peers are saying about ThreatMetrix, NICE, Forter and others in Fraud Detection and Prevention. Updated: March 2021.
475,291 professionals have used our research since 2012.

Broadcom Merchant Risk Analytics is ranked 42nd in Fraud Detection and Prevention while Nudetect is ranked 36th in Fraud Detection and Prevention. Broadcom Merchant Risk Analytics is rated 0.0, while Nudetect is rated 0.0. On the other hand, Broadcom Merchant Risk Analytics is most compared with , whereas Nudetect is most compared with .

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We monitor all Fraud Detection and Prevention reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.