January 15, 2013
SpeechStorm Payment Card Attains PCI Validation
By Rory Lidstone
TMCnet Contributing Writer
SpeechStorm (News - Alert), a phone-based and mobile customer service solution provider, today stated that its Payment Capture application has received validation from the Payment Card Industry Security Standards Council (PCI (News - Alert)-SSC) against the Payment Application Data Security Standard (PA-DSS). This validation means that organizations, which adopt the company's IVR applications, can ensure the highest level of over-the-phone card payment security.
It also makes Payment Capture the first pre-built PA-DSS compliant solution for the Genesys (News - Alert) Voice Platform (GVP).
It's typically very challenging, costly and time consuming to achieve PCI compliance for solutions already in operation or for in-house developed applications. SpeechStorm's pre-built application is the solution to this as it greatly reduces the time and effort required for a PCI audit since the core application now boasts PA-DSS validation.
"As customers, we all trust that organisations will use and store our data in a responsible way," said SpeechStorm CEO and co-founder, Oliver Lennon, in a statement. "Merchants must comply with industry regulations or face being fined. An off-the-shelf solution that is already validated is the fastest and most effective way for an organisation to meet security standards compliance, and is especially important at a time when the level of card fraud demands we do all in our power to prevent it."
SpeechStorm Payment Capture can be used in fully automated self-service transactions, as well as in a contact center environment, as the IVR can capture sensitive card data rather than an agent asking for it.
In December, SpeechStorm unveiled its new Italian-inspired IVR software code-named Fellini. This application features a Customer Journeys module which displays end-to-end paths taken by customers through self-service applications like IVR. This software is able to summarize individual paths taken by customers into tables based on days, weeks or months. It also highlights the top 10 most popular journeys for a selected period, also revealing the numbers and percentages of calls made and the descriptions of each.
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Edited by Brooke Neuman