As organisations scale artificial intelligence initiatives, a new challenge is emerging: how to govern and protect the vast amounts of sensitive data feeding those systems.
Commvault is addressing this issue with an expansion of its Commvault Cloud platform, introducing new capabilities designed to unify data security, governance and resilience across modern enterprise environments.
The update, powered by technology from Satori, extends visibility and control into structured data environments including databases and AI-specific data stores such as vector databases.
The Growing Risk of AI-Exposed Data
AI systems rely on large volumes of data, much of which includes sensitive or regulated information. Without proper controls, that data can be exposed through misuse, misconfiguration or even AI-generated outputs.
Studies suggest that 46 per cent of data breaches involve customer PII, while 40 per cent involve employee PII highlighting the scale of the risk facing organisations today.
Traditional security tools, however, were not designed for AI-driven environments where data flows across multiple systems and formats.
A Unified Approach to Data Security
Commvault’s approach focuses on unifying data discovery, classification and governance within a single platform.
The enhanced Commvault Cloud platform provides organisations with a consolidated view of their data landscape, enabling them to identify sensitive data, detect policy violations and prioritise remediation efforts based on risk.
New AI-enabled classification capabilities automatically identify high-risk data environments, including areas with excessive access permissions or data retained beyond policy limits.
At the same time, real-time data access governance provides continuous monitoring and control over how structured data is accessed and used.
From Protection to Resilience
By integrating these capabilities into cyber recovery workflows, Commvault is shifting the focus from reactive security to proactive resilience.
This means organisations can not only prevent data exposure but also ensure that, in the event of an incident, recovery processes are based on clean, compliant and well-governed data.
Industry analysts note that as AI adoption accelerates, data governance is becoming a critical gap in many enterprise security strategies.
By combining DSPM with real-time access controls, Commvault aims to give security leaders the tools needed to manage AI-driven risk while maintaining operational continuity.
Looking Ahead
Real-time structured data access governance is already available within Commvault Cloud, with broader structured data discovery and classification capabilities expected later in 2026.
As enterprises continue to expand their AI footprint, solutions that unify data security, governance and resilience are likely to play an increasingly important role in protecting both data and business operations.
