OpenText Cybersecurity

In a world in which every company is a data company, OpenText™ Data Privacy and Protection (DPP) is mission-critical software that ensures organizations remain in complete control of their data and its protection, enabling compliance with regulations that require no access to critical security infrastructure by third parties.

DPP is a product portfolio that provides enterprise-class, data-centric security solutions that enable an organization to evolve from the concern about when, where, and how to protect data to a plan for when specific fields of their protected data should be shown in the clear, to whom, and for how long:

• The breadth and depth of DPP is unparalleled in its ability to apply and control data security across an organization’s entire data estate for both current and legacy systems, including proprietary, COTS, and SaaS applications; files, mainframes, databases, data warehouses, analytics platforms, cloud services, payments hosts and terminals; and web and mobile e-commerce applications.
• It can be deployed into operational environments with minimal disruption to normal, ongoing activities, and at a very low security administration overhead due to its format-preserving and stateless methods.
• It protects the data itself, whether structured or semi-structured, in production, test, or back-up systems and regardless of whether it is at rest, in motion, or in use, rendering other system-dependent or endpoint protections such as TDE unnecessary.
• It can pseudonymize (i.e., apply reversible protection to) or anonymize (i.e., apply irreversible protection to) data as required, with the ability to retain parts of the data in the clear (e.g., to enable CSRs to see the last four digits of an SSN or CCN for customer or account identification).
• It enables organizations to move their protected data off-cloud to the cloud and back again, or between clouds, all without introducing any security gaps—the data remains protected at all times through on premises, cloud, hybrid, and multicloud environments.
• Data secured by DPP can be used for most analytics and other processing purposes in its protected, format-preserved form, reducing compute and storage costs, and enabling data sharing and data monetization use cases.
• DPP integrates with a range of big data analytics and data stream services that can be used with HPE Ezmeral Data Fabric, including Hive, Kafka Connect, MapReduce, NiFi, Spark, Sqoop, and StreamSets.