Commvault Unveils AI Capabilities To Enable Secure, Controlled Agentic Transformation

Commvault has announced a new suite of artificial intelligence (AI) capabilities designed to help organisations adopt AI while maintaining control over data, agents, and recovery processes.

The new and forthcoming innovations—Data Activate, AI Protect, and AI Studio—will be delivered through Commvault Cloud and aim to support enterprises as they transition toward agentic AI environments.

The announcement comes as organisations increasingly grapple with balancing AI innovation against growing concerns around data exposure, governance, and system complexity. According to Deloitte, 60% of AI leaders cite risk, compliance, and legacy integration challenges as key barriers to adoption.

Commvault’s latest capabilities are designed to address these concerns by enabling organisations to safely activate AI, govern agent activity, and recover from disruptions across complex environments.

Data Activate allows organisations to classify and curate data from backup environments, preparing trusted datasets for AI models while excluding sensitive information such as personally identifiable data. Built on a zero-trust architecture, it ensures that only vetted data is used in AI workflows.

AI Protect introduces visibility and control across agent-driven environments, enabling organisations to identify vulnerabilities, track agent behaviour, and perform full-stack recovery—including applications, configurations, and dependencies.

Meanwhile, AI Studio provides a framework for building and managing AI agents, including pre-built agents for resilience use cases and tools for developing custom workflows using Commvault’s Model Context Protocol.

Commvault CEO Sanjay Mirchandani said AI is becoming a new “system of record” for enterprises, but trust remains dependent on data integrity and recoverability.

“If data powering AI is compromised, AI is compromised. If data can’t be recovered, AI can’t be trusted,” he said.

The company said the combined capabilities will support a full AI resilience lifecycle, from data preparation through to governance, protection, and recovery across hybrid and cloud environments.

© Scoop Media