Commvault Extends Enterprise Resilience to Structured and AI Data with Real-Time Governance Controls
Expansion of Data Security Posture Management and real-time Data Access Governance, powered by Satori, helps security teams reduce AI and cloud data risks
These advancements also unify visibility by identifying sensitive data, surfacing exposure and policy violations, and consolidating risk insights to help organizations prioritize remediation based on impact. This yields improved resilience, prioritized risk remediation, support for compliance, and reduced data exposure to strengthen resilience across both production and backup data.
In the face of evolving threats, sensitive or regulated data continues to be a key target for cyberattacks. In fact, 90% of organizations have exposed sensitive data that can be surfaced by AI,1 while a separate study uncovered that 46% of all breaches involve customer personally identifiable information (PII) and 40% involve employee PII.2 Without comprehensive discovery, classification, and access controls, that sensitive data can be stolen by bad actors, increase the risk of security breaches and non-compliance with privacy regulations, and complicate recovery efforts.
The Commvault Cloud platform delivers broad data discovery, classification, and policy enforcement across structured, semi-structured, and unstructured data in hybrid and multi-cloud environments. The new advancements include:
- AI-enabled classification capabilities: Automatically identify and classify sensitive data across the enterprise, highlighting environments with high concentrations of sensitive data, excessive access, or data that has been retained longer than intended.
- Data access governance: Monitor and control how structured data is accessed and used, helping to reduce the risk of data leakage, including via AI models or generative AI outputs.
- Enhanced resilience via Commvault Cloud: Unifying data visibility and access controls directly into cyber resilience and cyber recovery workflows enables organizations to reduce data risk before an incident and recover more effectively afterward.
"As organizations expand into cloud and AI-driven environments, sensitive data is increasingly distributed across structured and unstructured systems," said
"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
Availability
Data access governance capabilities focused on real-time control of structured data access are available today via single sign-on from Commvault Cloud. It is also commercially available as an add-on to any Commvault Cloud package.
Structured data discovery and classification capabilities within Commvault Cloud are targeted for general availability (GA) in late summer 2026. These capabilities extend
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1 Varonis. (2025). State of data security report 2025: Quantifying AI's impact on data risk. https://info.varonis.com/en/state-of-data-security-report-2025
2 Michalowski, M. (2026,
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SOURCE
Media Contact: Kevin Komiega, Commvault, 978-834-6898, kkomiega@commvault.com; Investor Relations Contact: Michael J. Melnyk, CFA, Commvault, 646-522-6160, mmelnyk@commvault.com