Cohesity announced the launch of a new managed clean room capability within HCLTech VaultNXT offering. Recoverability after a cyberattack is a necessity for every organisation worldwide, and a governed, documented, and
HCLTech VaultNXT answers these requirements with policy-driven cyber vaulting, immutable clean recovery copies, governed access, and audit-ready processes specifically addressing DORA, NIS2, and other resilience and regulatory requirements. This latest enhancement integrating the Cohesity Clean Room solution and AI-powered data security capabilities into the VaultNXT framework delivers a fully managed, isolated recovery environment with secure investigation, containment, validation, and recovery capabilities.
“Cyber recovery strategies need to go beyond restoring data to include investigation, validation, and trusted recovery,” said Kit Beall, Chief Revenue Officer, Cohesity. “With VaultNXT’s proven framework, Cohesity and HCLTech are bringing together market-leading managed clean room services and AI-powered data security to help our customers recover trusted data faster, support compliance requirements, reduce risk, and operate with greater confidence.”
With automated workflows, rapid recovery, and strong security controls, customers can improve recovery speed and support the continued operation of the business after an incident. HCLTech VaultNXT provides an end-to-end, consulting-led cyber resilience framework designed to assess, build, and operate enterprise-grade ransomware recovery solutions.
“VaultNXT reflects the strength of the HCLTech and Cohesity partnership in helping organisations turn data protection into a strategic cyber resilience asset in the AI era,” said Rampal Singh, Senior Vice President of the Hybrid Cloud Business Unit, HCLTech. “By combining HCLTech’s global scale and cyber resilience expertise with Cohesity’s AI-powered data security and recovery, we help customers reduce downtime, stay compliant and operational, and respond faster to evolving cyber threats due to the expanding AI landscape.”
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