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Thales announces new products to protect data in multi-cloud environments

Written by Wed 19 May 2021

Thales ships new data protection tools for public cloud users

A range of new solutions aimed at improving multi-cloud data security have been released by security vendor Thales. These products offer enhanced data protection for the most sensitive data stored in cloud hyperscalers including Google Cloud, Microsoft Azure and Amazon Web Services.

Despite most cloud data storage providers offering a similar core service, each possess distinct methods to protect and manage data, leading to often challenging security issues for enterprises.

According to Thales senior vice president of cloud protection and licensing activities Sébastien Cano, the highly regulated nature of the post pandemic world will only make it even more vital for businesses of all sizes to fully understand the data they hold, if they are able to secure it effectively.

“The proliferation of multi-cloud computing has created new organisational challenges in managing data across many different cloud environments. Whilst organisations have benefited from scalability and speed to market thanks to the power of cloud, the ever expanding IT cloud landscape has added greater complexity to data management and security,” says Cano.

A central feature of many high-profile data breaches is the use of compromised identities, which pose a great threat to enterprises. SafeNet Trusted Access works immediately with Google Workspace, Azure and AWS, ensuring the correct enforcement is made for access controls and authentication for all users.

As part of this move to better empower customers to manage and store valuable data, Thales Data Discovery and Classification makes the discovery process automatic and allows the classification and protection of data in the cloud and on-premises using policies that automatically picks out sensitive data and protect it with encryption. Amazon Web Services S3 buckets and Azure Blob storage can now also use this technology for the discovery and classification of data.

Written by Wed 19 May 2021

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