Security News > 2022 > July > Multi-cloud doesn’t have to mean multi problems for data protection

Multi-cloud doesn’t have to mean multi problems for data protection
2022-07-06 05:39

How do organizations make sure that cyber security and backup/recovery processes keep up with the evolution to multi-cloud? In addition, how do they ensure that the data which is being stored, accessed, and transferred between multiple clouds and on-premises data center locations meets increasingly stringent data protection and regulatory requirements?

63% believed the emergence of cloud native applications, Kubernetes containers and SaaS workloads posed a risk to data protection, primarily because they lacked adequate tools to manage data protection in so many different environments.

In addition to increasing cyber resiliency, Keegan also feels that businesses need to ensure that staff are given the tools they need to properly address the protection needs of modern workloads like containers, SaaS and cloud infrastructure resources like IaaS and PaaS. That means data protection software which is flexible enough to span hybrid multi-cloud environments.

PowerProtect Data Manager provides embedded self-service capabilities and APIs via an intuitive GUI which helps DevOps teams package data protection resources within the development, test and production workloads across multi-cloud environments - allowing them "To treat data protection infrastructure as code" adds Keegan.

What's more, the deduplication features within PowerProtect Data Manager helped Trustmark reduce the footprint of a 250TB backup down to 1TB. Having put PowerProtect Data Manager in place, Trustmark is now considering how PowerProtect Cyber Recovery can help it further safeguard customer data and meet its regulatory obligations.

Persistent cyber threats, increasing data volumes and newer workload types are making cyber security and data protection management increasingly difficult.


News URL

https://go.theregister.com/feed/www.theregister.com/2022/07/06/multicloud_doesnt_have_to_mean/