Protegrity Evolves its Data Protection Platform

Protegrity, a global provider of data security, is transforming the Protegrity Data Protection Platform, offering enterprises the flexibility to easily secure sensitive data across cloud environments from a single platform.

Built for hybrid-cloud and multi-cloud serverless computing, Protegrity’s latest platform enhancements allow companies to deploy and update customized policies across geographies, departments, and digital transformation programs.

Protegrity enables businesses to quickly and safely turn sensitive data—wherever it resides—into intelligence-driven insights to deliver better customer experiences, monetize data responsibly, and support vital artificial-intelligence (AI) and machine-learning initiatives, according to the vendor.

With a batch of new data-security capabilities, including data anonymization, enterprises can protect sensitive data as it moves outside of an organization’s perimeter and is shared with third parties.

Protegrity’s expanding cloud-protection ecosystem gives customers the ability to easily deploy the security methods that best fit their needs, so businesses can embrace emerging technologies and new computing environments without slowing the speed of innovation.

“Too often, data protection can create huge barriers that diminish customer experience and businesses’ ability to pivot quickly,” said Rick Farnell, CEO at Protegrity. “Enterprises that try to run their data protection through disparate systems have gaps in protection, requiring more resources to manage these systems. Also, enterprises are often stymied by their own governance teams that won’t let sensitive data out of their vault. Protegrity enables data to be everywhere businesses need it to be. We support the world’s largest enterprises to have confidence on their journey to the cloud and ability to leverage AI. Protegrity is purpose-built to uphold privacy and comply with evolving global data regulations, while helping businesses realize the value of sensitive data as they accelerate digital transformation and AI initiatives.”

The platform allows enterprises to build data security into the fabric of their business through a combination of protection methods, APIs, policy management, and ecosystem integrations.

It offers performance across hybrid-cloud environments and optimizes corporate resources while enabling businesses to future-proof against the constant changes to privacy and data-security regulations.

Protegrity’s innovative platform capabilities give enterprises the flexibility to move from one cloud to another without being locked into a particular public cloud environment or data-security method.

By tokenizing data in a cost-effective, high-performance, and cloud-friendly way, Protegrity anonymizes sensitive data so it’s no longer visible under any circumstances. This reduces the risk of data exposure by protecting a multitude of sensitive data types, with role-based permissions that give appropriate users the access they need to work with that data.

Protegrity’s ecosystem includes support for numerous databases (Oracle, SQL, Teradata) and cloud-managed databases (Snowflake), big data tools (Cloudera, Databricks, PySpark), and file systems (HDFS, zOS Mainframe, Linux kernel), as well as application protection languages (Java, Python) and other data systems (Yellowbrick Data, Confluent, Exasol). Protegrity’s new software development kit also allows developers to up-level innovation by directly integrating data protection into cloud-based AI offerings.

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