Arcot RiskFort [EOL] vs. CA Payment Security Suite

Arcot RiskFort [EOL] is ranked unranked in Fraud Detection and Prevention vs CA Payment Security Suite which is ranked 1st in Fraud Detection and Prevention with 16 reviews. The top reviewer of CA Payment Security Suite writes "We have functionality for challenging fraud and risk analytics". Arcot RiskFort [EOL] is most compared with CA Payment Security Suite, RSA Adaptive Authentication and Oracle Adaptive Access Manager. CA Payment Security Suite is most compared with InAuth, IBM Trusteer and ThreatMetrix.
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Quotes From Members Comparing Arcot RiskFort [EOL] vs. CA Payment Security Suite

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Pricing and Cost Advice
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Utilize the transaction pricing model versus the active cards because the ability to monitor active cards hasn’t been good.

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Ranking
Unranked
In Fraud Detection and Prevention
Views
1,625
Comparisons
410
Reviews
16
Followers
284
Avg. Rating
8.8
Views
0
Comparisons
0
Reviews
1
Followers
1
Avg. Rating
5.0
Top Comparisons
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Compared 13% of the time.
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Also Known As
RiskFortCA Risk Analytics, CA Transaction Manager
Website/Video
CA Technologies
CA Technologies
Null Vendor
Overview
RiskFort provides real-time protection against identity theft and online fraud via riskÐbased, adaptive authentication. It evaluates the fraud potential of online access attempts (including everything from enterprise online services to consumer e-commerce transactions) and calculates the risk score based on a broad set of variables.

CA Risk Analytics help card issuers to combat eCommerce fraud, increase revenue, reduce card operations costs and improve the overall customer online shopping experience. Unlike traditional risk-based, adaptive authentication approaches, CA Risk Analytics uses patent-pending 3-D Secure authentication models, giving card issuers the advantage of achieving "zero-touch authentication" while simultaneously understanding the transaction in the context of what is normal for each individual cardholder.

CA Risk Analytics uses sophisticated behavioral modeling techniques to transparently assess the risk of card-not-present transactions in real-time by analyzing unique authentication data including device type, geolocation, user behavior and historical fraud data to separate genuine transactions from true fraud.

Administrators can easily customize the rules and model thresholds on-the-fly as well as set policies for allowing or denying a purchase and/or sending an alert in events that require increased authentication. The comprehensive case management system allows immediate access to fraud data so that analysts and customer support representatives can prioritize cases, query fraud data and manage alerts.

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Sample Customers
Global bankEurocard
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