PALO ALTO, Calif., Feb. 16, 2016 (GLOBE NEWSWIRE) -- Cloudera, the global provider of the fastest, easiest, and most secure data management and analytics platform built on
Apache Hadoop and the latest open source technologies, has teamed with Argyle Data to deliver a real-time fraud analytics platform
that is tailored to help communications service providers (CSPs) reduce risk and revenue loss from the growing volume of mobile
fraud.
The jointly developed fraud analytics platform gives CSPs the ability to fight global telecommunications fraud and detect
previously undiscoverable revenue threats, delivering up to 350 percent improvement over rules-based offerings based on
measurements in test labs and live operator environments. Using a native Hadoop architecture, combined with real-time data
ingestion, analytics, and machine learning, the fraud analytics platform saves operators millions of dollars in fraud and revenue
threats, reduces data leakage, and protects CSPs from irreparable brand damage.
Mobile and fixed-line carriers lose approximately two percent of their revenues, or USD $38 billion, to fraud every year,
according to the 2015 Global Fraud Loss Survey published by the Communications Fraud Control Association
(CFCA)[1]. Criminals are increasingly adopting hyperscale techniques to perpetrate fraud quickly and more efficiently
than ever before, exacting damage in 24 hours or less and going undetected for days or months, well before anyone knows an attack
is happening.
To detect and out-innovate advanced cyberfraud attackers, leading CSPs are turning to Hadoop and machine-learning-based fraud
analytics platforms that provide real-time analysis of massive amounts of data through an enterprise data hub (EDH). Proven to
operate at scale at some of the world’s largest CSPs, the Cloudera and Argyle Data joint solution works effectively where
traditional systems fall short.
“Together, we’ve been able to provide the first native Hadoop architecture for fraud protection, giving a level of detection
never seen before in the telecom market,” said Amy O’Connor, industry leader for Telecommunications at Cloudera. “The solution is a
huge leap forward for our customers in protecting their networks from attacks that are not only becoming more frequent, but harder
to detect as they’re happening.”
“International Revenue Share Fraud (IRSF) has grown by 600 percent in the last two years, and subscription fraud, with
variations such as never-pay, is driving up to 30 percent of overall fraud,” said Dr. Ian Howells, chief marketing officer at
Argyle Data. “To discover modern fraud and revenue threat attacks, requires an enterprise data hub spanning network, CRM, billing,
and profile data that can be analyzed in real time using machine learning. This prevents modern cybercriminals from flying between
systems, under the rules radar, and going undetected. CSPs are now able to use the power of Cloudera and machine learning to
discover both existing fraud more quickly and new previously undetectable revenue threats.”
The Cloudera-Argyle Data joint fraud analytics platform provides threat detection in near real time, applying machine learning
capabilities to discover threats that would typically take hours or days in just minutes, and resulting in 20 to 30 times fewer
false positives than existing solutions. The platform’s graph-based visual analytics allow users to discover crime rings and flows
that are otherwise undetectable. Furthermore, the interactive dashboards make fraud, profit, or SLA threats obvious and easy to
digest.
“We at Cloudera are seeing many opportunities to collaborate with our ecosystem partners to build and deliver compelling
business solutions on top of our Hadoop-based platform,” said Vijay Raja, solutions marketing manager for Cloudera. “This solution
exemplifies our ability to solve real business problems using big data. Our work with Argyle Data is a testament to the value big
data and real-time analytics can have, delivering broader benefits and a higher value proposition over legacy fraud solutions.”
About Argyle
Argyle Data is used by the world’s leading mobile operators to detect the fraud, profit, and SLA threats that cost the industry
$38 billion dollars per year. Argyle Data’s industry-leading native Hadoop application suite uses the latest Hadoop and machine
learning technologies, proven at Facebook and Google, to identify the revenue threats and attack patterns being waged against
mobile networks in real time. Learn more at argyledata.com.
About Cloudera
Cloudera delivers the modern data management and analytics platform built on Apache Hadoop and the latest open source
technologies. The world’s leading organizations trust Cloudera to help solve their most challenging business problems with Cloudera
Enterprise, the fastest, easiest and most secure data platform available for the modern world. Our customers efficiently capture,
store, process and analyze vast amounts of data, empowering them to use advanced analytics to drive business decisions quickly,
flexibly and at lower cost than has been possible before. To ensure our customers are successful, we offer comprehensive support,
training and professional services. Learn more at cloudera.com.
Connect with Cloudera
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Enterprise Basic Edition, Cloudera Navigator Optimizer and CDH are trademarks or registered trademarks of Cloudera
Inc. in the United States, and in jurisdictions throughout the world. All other company and product names may be trademarks of
their respective owners.
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[1] http://www.cfca.org/pdf/survey/2015_CFCA_Global_Fraud_Loss_Survey_Press_Release.pdf
Karina Babcock Cloudera press@cloudera.com +1 (650) 644-3900
