Commvault rolls out AI capabilities to secure agentic workflows and data

2026-04-13 · Source: AI – SiliconANGLE · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Cloud Computing & IT Infrastructure · Depth: Intermediate, extended

Summary

Commvault Systems Inc. has introduced new artificial intelligence capabilities within its Commvault Cloud platform, aiming to accelerate AI adoption while ensuring data control, agent governance, and recovery. These new offerings, Data Activate, AI Protect, and AI Studio, address the challenges organizations face in balancing AI innovation with risks like sensitive data exposure and loss of control over AI agents. Data Activate helps classify and curate data from backup copies into formats like Apache Iceberg and Parquet for LLMs, continuously publishing vetted datasets. AI Protect identifies risks, assesses agent-driven changes, and enables full-stack recovery across AI environments, including discovery, inventory, and one-click restoration. AI Studio provides a repository of built-in agents for resilience use cases and allows custom agent creation, integrating with Commvault's Model Context Protocol server. These capabilities collectively aim to advance an AI resiliency lifecycle across on-premises, SaaS, and hybrid cloud environments.

Key takeaway

For CTOs and VPs of Engineering grappling with secure AI deployment, Commvault's new AI capabilities offer a structured approach to manage data, govern agents, and ensure recovery. Your teams should evaluate these offerings to establish a robust AI resiliency lifecycle, particularly focusing on how Data Activate, AI Protect, and AI Studio can integrate into existing data protection and cyber resilience strategies to mitigate risks associated with agentic AI adoption.

Key insights

Commvault's new AI capabilities enable secure AI adoption by providing data activation, agent protection, and workflow creation within a unified cloud platform.

Principles

• AI resilience requires proactive data governance and recovery.
• Data protection and security must converge for effective cyber resilience.

Method

Commvault's approach involves classifying and curating data for AI, identifying and mitigating risks from AI agents, and enabling one-click full-stack recovery to known good states, including synthetic recovery points.

In practice

• Use Data Activate to prepare vetted datasets for LLMs.
• Employ AI Protect to map agent activity and initiate guided recovery workflows.
• Utilize AI Studio to build custom agents for specific resilience needs.

Topics

• AI Resiliency
• Agentic Workflows
• Data Activate
• AI Protect
• AI Studio

Best for: CTO, VP of Engineering/Data, Executive, AI Security Engineer, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI – SiliconANGLE.