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Home Artificial Intelligence

Commvault launches AI‑guarded data activation and agent recovery

by FutureCISO Editors
April 15, 2026
Commvault launches AI‑guarded data activation and agent recovery

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Commvault has unveiled a suite of AI‑driven capabilities aimed at giving enterprises greater visibility and control over agentic workflows, data and recovery in the AI‑era. The launch centres on three new offerings—Data Activate, AI Protect and AI Studio—built into Commvault Cloud to help organisations activate AI safely, govern AI agents and roll back automated changes when needed.

Data‑centric activation for AI

Data Activate lets teams curate and classify data from protected backups, then publish approved datasets in formats such as Apache Iceberg and Parquet for use with large language models and AI platforms.

The service continuously updates and vetted data, enabling teams to filter out personally identifiable information before feeding it into models. This approach reduces the risk of exposing sensitive data through AI while still allowing rapid, governed access to training and operational datasets.

Visibility and recovery for AI agents

AI Protect is oriented toward discovery, mapping and recovery in AI‑driven environments. As more autonomous agents touch data, applications and configurations, the product aims to inventory those agents, understand their impact and support full‑stack recovery, including agents themselves, configurations and dependencies.

“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,” said Pranay Ahlawat, chief technology and AI officer, Commvault.

Third‑party analysis notes that such tools are emerging specifically to address agent‑initiated drift and operational corruption, rather than replacing traditional prevention layers.

Agentic workflows and governance

AI Studio offers a development and deployment layer for AI agents, with built‑in resilience‑focused agents and a Model Context Protocol (MCP) server that lets GenAI assistants trigger backup and recovery tasks under enterprise policy.

Related:  Agentless visibility to facilitate breach containmet in hybrid environments

Organisations can build custom agents that integrate with existing enterprise systems while living inside Commvault’s governance and zero‑trust architecture. 

Sanjay Mirchandani, president and CEO, observed: “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.”.

Partner‑driven, agentic‑era resilience

Collaborations such as the Lumen Validated Design for Cyber Resilience bundle Commvault’s AI and cyber‑resilience capabilities with Lumen’s secure, scalable connectivity, aiming to de‑risk agent‑driven operations at scale.

As Marius Horja, CCoE compute architecture and engineering, Emerson Electric, put it, real‑time visibility and orchestration of agents from a single platform can give enterprises “greater confidence to scale AI innovation without sacrificing safety or resiliency”.

Tags: AI cyber resilienceautonomous agentsCommvaultEmerson Electriclarge language model (LLM)zero trust architecture

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