Commvault has rolled out a new suite of artificial intelligence-powered tools within its Commvault Cloud platform, aiming to help enterprises adopt AI securely while maintaining control over their data, systems, and automated agents. Notably, the company introduced three key solutions—Data Activate, AI Protect, and AI Studio—each designed to address different aspects of AI adoption and governance.
To begin with, the announcement highlights a growing concern among enterprises regarding the safe integration of AI technologies. As organizations increasingly explore agentic AI, they must also navigate risks related to compliance, data exposure, and legacy system compatibility. In fact, citing Deloitte research, Commvault emphasized that nearly 60% of AI leaders consider risk management and integration challenges as major barriers to adoption.
First, Data Activate enables organizations to unlock the value of backup data for AI initiatives. Specifically, it classifies, curates, and prepares datasets from protected backups, converting them into formats such as Apache Iceberg and Parquet for seamless use in large language models and AI platforms. Moreover, it ensures that all datasets comply with governance policies while allowing teams to identify and exclude personally identifiable information before using the data.
Meanwhile, AI Protect focuses on visibility, risk mitigation, and recovery within AI-driven environments. It actively identifies vulnerabilities, tracks the impact of agent-driven changes, and enables full-stack recovery across applications and systems. Additionally, it inventories AI agents and maps their activities, addressing a critical enterprise concern—AI agents modifying systems at high speed without clear traceability.
In addition, AI Studio provides a flexible environment for building and deploying AI agents tailored to specific business needs. It includes pre-built agents for resilience use cases while also allowing teams to create custom agents using Commvault’s Model Context Protocol server and integrate them with enterprise systems.
Importantly, Commvault continues to emphasize that successful AI adoption depends not only on innovation but also on resilience and recoverability. As organizations deploy AI in production environments, maintaining governance and ensuring system recovery become essential.
“Every enterprise era has produced a system of record – ERP for business operations, CRM for customers, and now AI for the enterprise,” said Sanjay Mirchandani, President and CEO, Commvault. “If data powering AI is compromised, AI is compromised. If data can’t be recovered, AI can’t be trusted. Commvault Cloud is the system of record for AI resilience.”
Furthermore, industry experts and partners echoed similar concerns about maintaining control over AI agents. For instance, Marius Horja, CCoE Compute Architecture and Engineering with Emerson Electric, highlighted the importance of real-time visibility and governance. “As we deploy AI agents across our organization, a key concern will be maintaining visibility and control over what these agents can access and how they interact with our sensitive data,” he said. “Having the ability to view, manage, govern, and orchestrate our agent ecosystem in real time from a single platform will give us greater confidence to scale AI innovation without sacrificing safety or resiliency.”
Similarly, Sean Alexander, SVP Connected Ecosystem, Lumen emphasized the importance of balancing innovation with risk management. “As enterprises accelerate AI adoption, they need solutions that reduce risk while delivering real business value,” he stated.
Finally, Commvault placed strong emphasis on recovery capabilities. According to Pranay Ahlawat, Chief Technology and AI Officer, Commvault, the complexity of agent-driven environments makes recovery more critical than ever. “In agentic environments, agents mutate state across data, systems, and configurations in ways that compound fast and are hard to trace,” he explained. “When something goes wrong, teams need to recover not just data, but the full stack – applications, agent configurations, and dependencies – back to a known good state. That’s what AI Protect delivers.”
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