Clumio Extends Its Rapid Recovery and Resilience Capabilities to Google Cloud
Brings immutable, SaaS-based protection and resilience to petabyte-scale datasets in Google Cloud Storage that are critical for the agentic AI era
With this announcement, Clumio is bringing proven resilience capabilities to multi-cloud environments. Multi-cloud adoption is becoming an industry standard, with 84% of cloud leaders indicating they intentionally use multiple cloud environments to enable AI, balance risks, and manage mass datasets.1
However, across clouds, many organizations still rely on manual, time-consuming processes to protect and recover their critical data and cloud-based workloads. These legacy solutions can leave data vulnerable to ransomware and accidental deletion – and allow errors from bad code or human mistakes to flow downstream, eroding trust in AI and analytics. They also often lack air-gapped, immutable data protection, and simple, scalable recovery workflows required for modern cloud and AI environments.
Clumio for Google Cloud Storage is engineered to help close these resilience gaps. As a cloud-native resilience solution, Clumio enables organizations to protect and recover large-scale cloud data and AI workloads with simplicity, proven performance, and built-in data security capabilities that Clumio is known for today.
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Delivered as a fully managed SaaS platform, Clumio provides isolated, immutable backups stored in an air-gapped vault away from the primary data. This is important because if the primary data is held for ransom, air-gapped data can still remain secure. This also helps protect against accidental deletion and operational errors without requiring organizations to deploy or manage backup infrastructure. Additionally, it allows organizations to recover data reliably after outages, bad code pushes, cyberattacks, or human error.
Additional key benefits for customers
- Reduce business risk from downtime and data loss: Protect customer-facing applications, analytics, and AI systems, even as data spans multiple cloud environments.
- Maintain a consistent protection and resilience experience across cloud environments: Use unified policies and consistent workflows to reduce operational complexity as more organizations embrace a multi-cloud approach to managing, protecting, and storing data.
- Support compliance and audit requirements: Enable organizations to support compliance initiatives with isolated, immutable backups that can be critical for regulated environments.
"Resilience must be just as dynamic as the modern AI-first cloud environment it protects," said
"The explosion of data in the cloud utilized for AI and analytics has created a demand for data protection and resilience strategies that go beyond legacy backup approaches," said
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1 Kyndryl. (2025). 2025 Kyndryl Readiness Report: Unlocking Cloud Readiness. https://www.kyndryl.com/content/dam/kyndrylprogram/doc/en/2025/cloud-readiness-report.pdf
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