As enterprises accelerate adoption of cloud and artificial intelligence technologies, managing sensitive data across complex environments has become a growing challenge. The latest update from Commvault highlights how AI data security is evolving to address risks tied to structured data and real time access control.

Commvault has announced an expansion of its data and AI security capabilities within its Commvault Cloud platform, following its acquisition of Satori. The new enhancements extend data discovery, classification, and risk assessment into structured data environments, while introducing real time governance controls for databases, including vector databases used in AI applications.

Traditionally, data security posture management has focused largely on unstructured data. However, as organizations increasingly rely on structured data sources such as cloud data warehouses and AI driven systems, the need for unified visibility and control has become more critical. Commvault’s latest capabilities aim to bridge this gap by enabling organizations to monitor and manage data across structured, semi structured, and unstructured environments.

The platform now provides comprehensive visibility into sensitive data by identifying exposure risks, policy violations, and access patterns. This unified approach allows organizations to prioritize remediation efforts based on business impact, while improving compliance with data protection regulations and reducing the risk of data breaches.

The need for such capabilities is underscored by recent findings showing that 90 percent of organizations have exposed sensitive data that could be surfaced by AI systems. Additional research indicates that nearly half of all breaches involve customer personally identifiable information, while a significant portion also affects employee data. These trends highlight the growing importance of securing data across both production and backup environments.

A key component of the update is the introduction of AI enabled classification, which automatically identifies and categorizes sensitive data across enterprise systems. This capability helps organizations detect environments with excessive access privileges or data that has been retained beyond intended timelines, reducing potential exposure.

The platform also introduces real time data access governance, allowing organizations to monitor and control how structured data is accessed and used. This is particularly important in AI driven environments, where models can inadvertently expose sensitive information through outputs or interactions.

Yoav Cohen, Vice President of Product Management at Commvault and Co founder of Satori, emphasized the importance of extending governance capabilities. “As organizations expand into cloud and AI-driven environments, sensitive data is increasingly distributed across structured and unstructured systems,” said Yoav Cohen. “Without clear visibility and real-time access controls, that data can become overexposed and difficult to manage. By extending discovery and governance into structured data environments, we are helping organizations reduce unnecessary exposure and strengthen resilience across both live and backup data.”

Industry experts also point to the growing need for integrated solutions. “As enterprises race to scale AI, data governance is emerging as a critical gap. Legacy data security tools weren’t built for environments where AI models can inadvertently expose sensitive information buried in vector databases and cloud data warehouses,” said Jennifer Glenn, Research Director, Data and Information Security, IDC. “Unifying the convergence of data security posture management and cyber resilience equips CISOs and CIOs with the tools they need to manage AI-driven risk across their expanding AI footprint.”

The expansion of Commvault’s platform reflects a broader shift toward unified AI data security strategies. By combining visibility, classification, and real time governance, organizations can better protect sensitive information and strengthen resilience in an increasingly AI driven threat landscape.

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