Joined to help improve payment data security worldwide.
MobileIron, a provider of security and management mobile apps, content, and devices, has announced that it has joined the PCI Security Standards Council as a new Participating Organization.
MobileIron will work with the Council to achieve and improve payment data security worldwide through the developments of the PCI Security Standards, including the Payment Card Industry Data Security Standard, Pin Transaction Security requirements and the Payment Application Data Security Standard.
Endorsed by American Express, Discover Financial Services, JCB International, MasterCard Worldwide and Visa Inc., the PCI Security Standards require merchants and service providers that store, process or transmit customer payment card data to adhere to information security controls and processes that ensure data protection.
“We are committed to supporting our customers as they become Mobile First organizations,” said Ojas Rege, VP Strategy, MobileIron. “By joining the PCI Security Standards Council, we can help them achieve PCI compliance and enable secure mobile payments. We look forward to being an advocate for our customers and working with other mobile security leaders on the Security Standards Council.”
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more
