SAN MATEO, CA–(Marketwired – Feb 13, 2015) – Argyle Data, the leader in real-time fraud analytics for data-driven Hadoop organizations in mobile communications and financial services organizations, today announced that it has joined the GSMA as an associate member. The company will participate in the GSMA’s Fraud and Security Working Group (FASG) to help identify and share knowledge on how the latest big data, machine learning and anomaly detection techniques can be applied specifically to fraud and security in the mobile industry.
The members of FASG work together to drive the industry’s management of fraud and security matters related to GSM technology, networks and services. The group seeks to maintain or increase the protection of mobile technology and infrastructure, as well as customer identity, security and privacy, so that the industry’s reputation stays strong and mobile operators remain trusted partners in the ecosystem.
“The GSMA is one of the most prestigious organizations in our industry and we are proud to be part of a group of companies that want to drive innovation in fraud and security,” said Tom Ryan, President and CEO, Argyle Data. “We believe that we can contribute to the Fraud and Security Working Group by sharing our knowledge on the latest big data, machine learning and anomaly detection techniques, so that mobile operators can use innovative technology to stay ahead of modern criminals.”
“We welcome Argyle Data to the GSMA and specifically their participation in the Fraud and Security Working Group,” said James Moran, FASG Director, GSMA. “Protecting the SS7 network and subscribers from fraud is a priority for all of our members.”
About Argyle Data
Argyle Data is the leader in real-time fraud and security analytics at network speed and Hadoop scale offering solutions for the largest data-driven companies in mobile communications and financial services. Argyle Data offers a real-time fraud and security analytics application built from the ground up on Hadoop using the latest big data, machine learning and anomaly detection technology proven at Facebook and Google. It is able to detect fraud not detected by existing systems, discover fraud in minutes vs. days, discover both new and old fraud attack techniques and dramatically reduce false positives.
To learn more, please visit www.argyledata.com.