Data protection platform TokenEx has announced the launch of Multi-Variant Tokenization, a proprietary technology created to enhance how businesses operate and interact with sensitive data.
As more organizations increase the number of channels their customers can use to purchase goods or services, the process of mapping and securing sensitive data becomes more complex. In addition, these companies must deal with various state, federal and industry specific compliance rules, while multi-national organizations have the added pressure of needing to comply with significant data privacy and data residency requirements.
Multi-Variant Tokenization is unique in that it allows a company’s sensitive data to be identified, mapped and secured as it moves across various environments, providing continuous, unparalleled security, while ensuring that an organization’s operations remain uninterrupted. As a result, these companies can generate higher returns while cutting costs and reducing compliance burdens at the same time.
“Gone are the days of maintaining complex data mappings with little opportunity to effectively normalize and secure the data while trying to meet an ever-increasing compliance burden,” CEO Alex Pezold said in a press release. “Leveraging Multi-Variant Tokenization, organizations will now have a means and a mechanism to achieve and maintain data security and privacy compliance across any data set in any system, globally.”
For those looking to learn more about how to utilize the tokenization process for their business, Pezold, along with PYMNTS’ Karen Webster, will be hosting a webinar on September 13 from 1 to 2 p.m., that you can sign up for here.
“Simplifying the Tokenization of Diverse Data” will cover such topics as the challenge of managing disparate data sets within an organization, how implementing a flexible data protection strategy will alleviate data privacy and compliance challenges, the need to protect additional sensitive data sets beyond payment card information (PCI), and why most organizations today need the tokenization of multiple data sets.