Commvault, a leading provider of cyber resilience and data protection solutions for the hybrid cloud, announced two powerful additions to its HyperScale portfolio: HyperScale Edge and HyperScale Flex.
As modern enterprises generate more data from remote offices and edge locations, these environments have become lucrative and vulnerable targets for cyberattacks. The 2024 Verizon Data Breach Investigations Report reveals a startling trend: breaches from the exploitation of edge devices and VPNs surged to 22%, an eightfold increase from the previous year.1
To help customers address this challenge and improve their resilience, Commvault has developed HyperScale Edge and HyperScale Flex. Complementing Commvault’s HyperScale X solution, which serves as its flagship scale-out integrated appliance, these new on-premises offerings provide customers with exceptional flexibility, performance, and resilience for protecting workloads running in various environments. Like HyperScale X, both HyperScale Edge and Flex models are delivered as a software image that can easily be installed on validated hardware.
“No two enterprises are the same. Modern retailers often manage mission-critical data across dozens of sites, while large organizations may want to leverage existing storage investments. But regardless of infrastructure, every enterprise is striving for one thing: cyber resilience,” said Pranay Ahlawat, Chief Technology and AI Officer, Commvault. “With the launch of HyperScale Edge and HyperScale Flex, we’re delivering the best of both worlds — flexibility and choice, combined with industry-leading cyber resilience.”
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For large, data-intensive, and AI workloads, such as those generated by technology, telecom, and healthcare industries, HyperScale Flex delivers high-performance backup and recovery with a flexible architecture that connects to external flash storage pools. Supporting certified storage offerings from Pure Storage, VAST Data, and in the near future, HPE, it enables organizations to meet the extreme performance demands and multi-petabyte capacity requirements of modern applications and AI/ML workloads.
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