Attacks/Breaches

5/5/2017
12:00 AM
Dark Reading
Dark Reading
Products and Releases
50%
50%

CA Technologies Releases Payment Security Solution to Cut Online Fraud Loss

CA Applies Real-Time Behavioral Analytics and Machine Learning to Online Transaction Data to Stop Fraud

NEW YORK – CA Technologies today announced CA Risk Analytics Network, the payment industry’s only card-issuer network that stops card-not-present fraud instantly for network members using real-time behavior analytics, machine learning, and global transaction data to reduce online fraud losses by an average of 25 percent* – a potential of $2.2 billion in savings.**

As a cloud-based service, CA Risk Analytics Network incorporates a new advanced neural network model, backed by real-time machine learning, to protect 3-D Secure card-not-present (CNP) transactions. It learns from and adapts to, suspected fraudulent transactions in an average of five milliseconds, instantly closing the gap for potential fraud using the same card or device across all members of the network.

According to Javelin’s 2017 Identity Fraud Report, explosive growth in card-not-present fraud, driven by the increasing e-commerce and m-commerce volume, as well as the EMV liability shift, contributed to the rise of existing card fraud. "Just as e-commerce is displacing point-of-sale transactions, the same is true for the channels in which fraudsters choose to conduct their business. Among consumers, there was a 42 percent increase in those who had their cards misused in a CNP transaction in 2016, compared to 2015 levels," the report showed.

"Detecting anomalies quickly and ensuring frictionless authentication are the first steps in preventing card-not-present fraud without impacting legitimate cardholder transactions," said Terrence Clark, general manager for CA Technologies Payment Security solutions. "Our data scientists have applied advanced analytics and new, real-time, machine-learning algorithms to the global pool of 3-D Secure, e-commerce transaction data and device insights maintained by the CA Payment Security Suite. This provides faster and more accurate online fraud detection and prevention, reducing fraud losses for network members while streamlining online shopping experiences for consumers."

CA’s payment security solutions protect billions of online transactions supporting hundreds of millions of cards and thousands of card portfolios worldwide. CA Risk Analytics Network is open to card issuers with portfolios of any size: from global banks with millions of cardholders, to smaller, or regional financial institutions.

Support for 3-D Secure protocols today and in the future

CA Risk Analytics Network and the CA Payment Security Suite support the 3-D Secure specification today and will support the new EMV 3-D Secure 2.0 specification, which addresses authentication and security for card-not-present, e-commerce transactions using smartphones, mobile apps, digital wallets and other forms of digital payment. The 2.0 protocol will make extensive use of device data, giving CA Risk Analytics Network subscribers a growing new source of information to reduce fraud and optimize the customer experience across all consumer shopping devices and all versions of the 3-D Secure protocol.  Support for both the 1.0 and 2.0 specifications is important as adoption rates of the updated specification among card issuers and merchants will vary.

Resources

*Data based on applying the new CA Risk Analytics Network fraud model to historical customer data over a 90-day period.

** Potential savings based on existing-card account fraud of $8.8 billion in 2016, reported in "2017 Identity Fraud: Securing the Connected Life," a Javelin Strategy & Research survey conducted among 5,028 U.S. adults over age 18.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
What We Talk About When We Talk About Risk
Jack Jones, Chairman, FAIR Institute,  7/11/2018
Ticketmaster Breach Part of Massive Payment Card Hacking Campaign
Jai Vijayan, Freelance writer,  7/10/2018
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Write a Caption, Win a Starbucks Card! Click Here
Latest Comment: This comment is waiting for review by our moderators.
Current Issue
Flash Poll
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2018-14072
PUBLISHED: 2018-07-15
libsixel 1.8.1 has a memory leak in sixel_decoder_decode in decoder.c, image_buffer_resize in fromsixel.c, and sixel_decode_raw in fromsixel.c.
CVE-2018-14073
PUBLISHED: 2018-07-15
libsixel 1.8.1 has a memory leak in sixel_allocator_new in allocator.c.
CVE-2018-14068
PUBLISHED: 2018-07-15
An issue was discovered in SRCMS V2.3.1. There is a CSRF vulnerability that can add an admin account via admin.php?m=Admin&c=manager&a=add.
CVE-2018-14069
PUBLISHED: 2018-07-15
An issue was discovered in SRCMS V2.3.1. There is a CSRF vulnerability that can add a user account via admin.php?m=Admin&c=member&a=add.
CVE-2018-14066
PUBLISHED: 2018-07-15
The content://wappush content provider in com.android.provider.telephony, as found in some custom ROMs for Android phones, allows SQL injection. One consequence is that an application without the READ_SMS permission can read SMS messages. This affects Infinix X571 phones, as well as various Lenovo p...