The Payment Card Industry Data Security Standard (PCI DSS) was created to ensure that every payment card transaction is facilitated in a secure environment. Today, all organizations that store, process, or transmit payment card information must conduct PCI compliance audits annually.
Unfortunately, as security complexity has increased, so have the requirements for PCI compliance. Under PCI DSS 4.0, the number of requirements that must be met can be as high as 252 separate requirements. This presents merchants and service providers with an expensive, exhausting, and resource-intensive obligation.
In an effort to manage risk appropriately, the PCI DSS standard developed various requirement levels, which change based on the method under which payments are processed.
What if you could dramatically reduce the number of applicable requirements, and could reduce the number of systems in scope for your annual PCI audit?
DataStealth for PCI Audit Scope Reduction tokenizes payment cards before they arrive in your environment, and de-tokenize payment cards after they leave.
Instead of purchasing and installing a software product that requires you to implement, manage, and maintain it using your valuable and expensive resources, DataStealth offers a hosted managed service that is fast and easy to deploy, where we take care of everything for you.
DataStealth is QSA audited annually and is a Service Provider Level 1 organization
DataStealth is a Participating Organization of the PCI Security Standards Council.
Having no payment cards anywhere in your environment provides an additional benefit. If your environment were to ever be breached, it would be impossible to steal payment card data from it because your environment would have no payment card data to steal.
Never required to make any application changes to be deployed.
Seamless deployment with no need to install agents, collectors, widgets on your servers or integrate with applications.
A transparent solution to users, systems, and processes.
Let us show you how
DataStealth solves your most complex data challenges.
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