Commvault Launches Recovery Studio to Automate AI Recovery and Application Rebuilding

Commvault Introduces Recovery Studio for Automated Full-Stack Recovery

Commvault unveiled Recovery Studio at its SHIFT 2026 customer event, a service designed to automate the rebuilding of entire business applications following outages or cyberattacks1

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. The launch addresses a critical challenge: restoring data alone does not bring applications back online. Without identities, configurations, and infrastructure dependencies, applications remain offline even after files are recovered. Large enterprises with hundreds of applications and thousands of identities typically require 28 days on average to restore minimal operations under conventional approaches, according to Commvault research1

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Recovery Studio replaces manual recovery processes with automated runbooks that rebuild and validate each component in sequence. The service restores identity systems, cloud configurations, and firewall rules while running threat scans on supported resources1

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. Pranay Ahlawat, Commvault's chief technology and AI officer, described the launch as "the DevOps moment for recovery," enabling one orchestrated flow to replace the spreadsheets and war rooms recovery teams currently depend on1

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Full-Stack Recovery Orchestration Built on Appranix Acquisition

Recovery Studio is based on Commvault's 2024 acquisition of Appranix, a provider of cyber resilience technology embedded in its Cloud Rewind platform2

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. Tim Zonca, Commvault's vice president of portfolio marketing, explained that the service brings full-stack recovery orchestration to organizations by capturing not just data, but also application configurations, infrastructure configurations, network settings, security settings, and metadata2

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. The platform sequences and automates recovery actions across identity systems, application constructs, infrastructure configurations, and underlying data, delivering consistency, reliability, and repeatability at unprecedented scale and speed2

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AgentRecover Update Expands to Microsoft Foundry and Amazon Bedrock

Commvault expanded AgentRecover, its tool for reversing damage caused by AI agents, to support agents built on Microsoft Foundry and Amazon Bedrock AgentCore from Amazon Web Services1

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. The AgentRecover update addresses a fundamental shift in recovery requirements. Phil Goodwin, research vice president at International Data Corp., noted that conventional recovery assumes a discrete set of data at one point in time, but AI agents break that assumption because the agent, its data, and surrounding resources must all recover "at machine speed"1

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On Bedrock AgentCore and Microsoft Foundry, the software discovers each agent and maps the data, applications, and infrastructure it interacts with. If an agent goes rogue, its activity log reveals which systems it may have touched across platforms1

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. Restores target both the agent and whatever it changed, with customers able to run AgentRecover alongside Commvault's identity recovery and change auditing tools to trace the identities an agent acted through1

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Strategic Partnerships with Databricks, Nvidia, and Zscaler

Commvault announced partnerships with Databricks, Nvidia, and Zscaler to strengthen AI-specific data recovery capabilities1

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. The Databricks integration builds on Data Activate, which transforms backup copies protected by Commvault into datasets for analytics and AI. In research from BARC published by DataHub in June, 70% of data and AI leaders reported that less than half of their unstructured data could be found and used for AI1

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. Commvault Data Activate for Databricks shares data under Commvault management into Databricks through OpenSharing, arriving as governed tables in Unity Catalog with ownership, access permissions, and lineage intact1

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Nvidia's contribution, delivered as a reference design for software-as-a-service and software deployments, focuses on retrieval. Nvidia NIM microservices and Nemotron Retriever, together with the Nvidia cuVS library used with Apache Solr, extract and organize Commvault-protected content so applications and agents can access it more easily1

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. The Zscaler partnership centers on AI security, with AI discovery, runtime governance, and agent detection and recovery as early collaboration areas. Dhawal Sharma, Zscaler's executive vice president of AI security and strategic initiatives, emphasized that organizations need to be "prepared to recover quickly if something goes wrong"1

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Addressing New Era of AI-Driven Vulnerabilities

Zonca outlined three critical challenges driving these innovations: data proliferation across multiple stores, software acting independently through AI agents, and operations now occurring at machine speed while traditional business processes lag behind2

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. Recovery Studio, AgentRecover's Amazon Bedrock AgentCore support, and the Databricks integration are scheduled to enter early access in December, with the latter available in select Microsoft Azure regions1

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