Reduce risk of data breaches with a data product approach to data tokenization

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Presented by

Hod Rotem, VP Global Solutions and Gil Trotino, Director Product Marketing at K2View

About this talk

About this talk: Protecting sensitive data is a top priority for the enterprise, and tokenization has proven to be one of the best data protection methods. Join this webinar to learn about a revolutionary, data product approach to data tokenization. We’ll cover data tokenization concepts and methods, the business requirements of a data tokenization solution, and the limitations of traditional data tokenization tools. We’ll introduce a transformational approach to data tokenization that leverages data products to enable high-scale, real-time protection of sensitive data for operational and analytical systems. Agenda: * Data tokenization, its role in data security, and benefits * The limitations and pitfalls of data tokenization * Data products and how they revolutionize data security * Live demo: Using a data product platform for data tokenization

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At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile. With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer. Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys as a data fabric, data mesh, or data hub - in an on-premises, cloud, or a hybrid architecture - in a matter of weeks, and adapts to change on the fly. The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Product Platform for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.