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Rubrik Enhances Google Cloud Data Protection for BigQuery and Cloud Storage, Bolstering AI Workload Resilience

Rubrik has announced significant enhancements to its data protection offerings for Google Cloud, specifically introducing general availability for agentless, immutable backups of Google BigQuery and promising extended protection for Google Cloud Storage in the coming months. This move aims to fortify data resilience against cyber threats, particularly for critical AI and analytics workloads. The new capabilities allow for flexible recovery of BigQuery datasets and individual tables, including views and routines, at petabyte scale. Backups can be stored in a customer's Google Cloud Storage bucket or Rubrik Cloud Vault, leveraging Google Cloud Storage Object Retention Locks for immutability. This development is particularly significant for organizations deeply invested in Google Cloud's data analytics and AI ecosystem. As AI agents move from pilot projects to production, the integrity and recoverability of the data they operate on become paramount. BigQuery, often serving as the foundational layer for these agents, is no longer just a data warehouse but a critical operational component. The escalating threat landscape, where cyberattacks frequently compromise backup and recovery systems, underscores the necessity for robust, independent data protection. Rubrik's solution directly addresses the shared responsibility model in cloud security by providing long-term, immutable protection outside the production environment, thereby bridging a crucial gap where native snapshots might fall short. The broader trend in cloud and DevOps is a growing recognition that data protection must evolve beyond traditional backup strategies to encompass cyber resilience and AI-native considerations. The rise of AI workloads, while offering immense potential, also introduces new attack vectors and magnifies the impact of data loss. Cloud providers and third-party vendors are increasingly focusing on solutions that offer granular control, immutability, and rapid recovery for specialized data services like BigQuery, which are central to AI operations. This aligns with the industry-wide push for more secure and resilient cloud infrastructures capable of supporting the demands of agentic AI and complex analytics. In practice, this means that Google Cloud users, especially those with substantial BigQuery deployments, can now implement a more comprehensive data protection strategy. Practitioners should evaluate their current BigQuery backup and recovery processes, considering whether native seven-day time travel limits are sufficient for their compliance and operational needs. Rubrik's offering provides unlimited retention and unified compliance reporting, which can be vital for regulated industries. The agentless nature of the solution simplifies deployment and management, reducing operational overhead. Organizations should also consider how this enhanced protection for BigQuery and Google Cloud Storage integrates with their overall cyber resilience framework, ensuring that their AI ambitions are not hampered by potential data disruptions. The ability to restore specific tables or entire datasets with views and routines intact offers a level of flexibility crucial for maintaining business continuity and the trustworthiness of AI-driven processes.
#cloud storage#data protection#google cloud#bigquery#cyber resilience#ai workloads
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