Commvault introduces Data Rooms, enabling organizations to share data from backups with AI platforms in a controlled manner.
Commvault has launched a new solution that helps companies securely and compliantly unlock data from backup systems for use in AI applications. With Data Rooms, organizations can compile, classify, and share datasets from their existing backup environments, both in the cloud and on-premises, without additional risks or complex integrations.
Making Data Safe for AI
Many organizations want to implement AI but face obstacles regarding data access, security, and compliance. According to research cited by Commvault, AI often makes an organization more vulnerable to cyberattacks. Nevertheless, there remains a strong drive to utilize historical data for model training or data-driven decision-making.
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Commvault Integrates BeyondTrust for Data Access Control
With Data Rooms, Commvault aims to bridge the gap between traditional data protection and its active deployment within AI platforms. The solution operates within Commvault Cloud’s zero-trust architecture and utilizes encryption and role-based access control (RBAC). Simultaneously, the platform automates the classification, tagging, and auditing of sensitive data, ensuring compliance is maintained.
More control
Data Rooms supports automated processes for data discovery and dataset composition. Companies can export datasets in formats such as Apache Iceberg or Parquet, suitable for AI training and business intelligence. The solution integrates directly with platforms like Microsoft Azure and Snowflake.
With Data Rooms, Commvault targets organizations that want to not only preserve their historical data but also leverage it strategically. By combining observation, control, and security, the platform enables secure data flow between backups and AI models, without requiring companies to manage a new AI platform.