Updated November 10, 2026 | Originally published April 13, 2026.
Key Takeaways
- Agents can make changes across enterprise data, applications, and infrastructure. Understanding the agent alone often isn’t enough to plan recovery.
- AgentRecover is Commvault’s full-stack AI recovery solution, designed to connect agent-specific information with enterprise protection and recovery capabilities.
- Microsoft Foundry and Amazon Bedrock AgentCore are the initial AI agent platforms planned for AgentRecover.
- Agent activity and resource information help teams understand unwanted changes and determine what needs recovery, whether affected components or the broader AI system.
- Commvault AgentRecover, Data Activate, and Agent Studio address distinct parts of Commvault’s broader AI resilience strategy.
AI Agents Are Here. So Is Commvault.
AI agents are no longer a future-state experiment. They are running in production environments, querying data, invoking tools, and triggering workflows across business systems.
Deploying agents is only part of the challenge. Teams also need to understand what those agents are doing, which resources they interact with, and how to recover when something goes wrong.
In April, Commvaultintroduced the direction for AI Protect. That vision is becoming more concrete underAgentRecover, Commvault’s full-stack AI recovery solution. AgentRecover capabilities for Microsoft Foundry are targeted for early access in November, with Amazon Bedrock AgentCore targeted for December.
These platforms provide services for building, deploying, and operating production agents. AgentRecover is designed to connect protection of supported agents and platform resources with recovery of the enterprise systems those agents interact with.
The Recovery Problem at the Heart of Agentic AI
As organizations scale their AI investments, a new recovery challenge is emerging. Agents do not just generate responses. They can access data, modify configurations, invoke tools, and trigger changes across connected systems.
If an agent takes an unintended action, fixing the agent itself may not restore the business process. The data it changed, the application it interacted with, and the infrastructure supporting that application may also need recovery.
The symptoms are familiar:
- Fragmented visibility: Knowing that an agent exists is different from understanding the data, applications, tools, and infrastructure it interacts with.
- Unclear protection coverage: Teams need to know whether the resources behind an AI workflow have appropriate protection and recovery strategies.
- Activity without recovery context: A record of an agent’s action is useful, but teams also need to understand which resources may have been affected by the action and what may require recovery.
- Disconnected recovery: Information about agent actions and the recovery capabilities for affected workloads may sit in separate systems, leaving teams to connect them when an incident occurs.
Full-stack AI recovery helps address these issues. It considers the agent and the enterprise systems behind it, rather than treating the agent, model, or individual data source as the entire recovery problem.
Introducing Commvault AgentRecover
AgentRecover is designed to bring AI-specific discovery, dependency mapping, activity audit, and recovery context together with Commvault’s broader workload protection and recovery capabilities.
The enterprise AI stack includes agents and their configurations, AI platforms, data and knowledge systems, applications, and infrastructure. Lakehouses, vector databases, business applications, and cloud configurations can all contribute to an AI workflow.
AgentRecover is designed to help teams understand that environment, protect its supported components, and recover affected resources or the broader AI system to a trusted point.
Discover: Understand Agents and the Resources They Interact With
AgentRecover is designed to discover AI agents and map the data, applications, tools, identities, configurations, and infrastructure they interact with.
That mapping provides more than an inventory. It helps teams understand the resources behind an AI workflow and connect those resources with protection coverage and recovery capabilities.
The distinction matters when something goes wrong. Teams need to understand not only which agent took an action, but also which systems and data may need attention.
Protect: Build a Recovery Foundation for the AI Stack
Agent protection and workload protection serve related purposes.
Protecting an agent’s configuration helps preserve the agent itself. Protecting the underlying data, applications, and infrastructure helps provide recovery options for the systems behind its workflow.
AgentRecover brings those needs together. Its planned platform capabilities include protection of supported agent configurations and platform resources, beginning with Microsoft Foundry and Amazon Bedrock AgentCore.
The broader solution also draws on Commvault protection and recovery capabilities for supported AI-related data and workloads, such as lakehouses, warehouses, vector databases, applications, and core infrastructure.
Protection status information helps teams identify gaps. Surfacing a gap does not itself close it, but it gives teams information they can use to help address the recovery readiness of the AI environment.
Audit Agent Activity: Understand What Happened
AgentRecover provides an audit of agent actions and the resources associated with or affected by them. Connecting activity with resource information helps teams understand what changed and what may require recovery. It helps make the recovery decision more specific: Which action needs attention? Which resources are involved? What response is appropriate?
Recover: Respond to Unwanted Agent-Driven Changes
When an agent-driven change causes a problem, AgentRecover uses information about agent actions and associated or affected resources to help identify unwanted changes and determine what needs recovery.
Commvault can then help recover affected data, configurations, applications, and infrastructure, or the broader AI system, to a trusted point. The appropriate scope depends on the incident: some situations call for restoring individual components, while others require a broader restore.Cloud Application Recovery, purchased separately, may support these workflows where applicable.
The objective is to connect understanding of the agent’s actions with the appropriate enterprise recovery response.
Part of a Broader AI Resilience Vision
AgentRecover focuses on protecting and recovering AI environments and recovering from unwanted agent-driven changes.Data Activateis designed to make protected enterprise data available for AI and analytics use cases.Agent Studio, formerly AI Studio, is intended to support building and managing agents for resilience workflows. Together, they contribute to Commvault’s broader AI resilience lifecycle: protecting AI environments, making protected data useful for AI, and applying AI to resilience operations.
FAQs
Q. What is Commvault AgentRecover?
A. AgentRecover is Commvault’s full-stack AI recovery solution. It brings agent discovery, dependency mapping, activity audit, and recovery context together with workload protection and recovery capabilities to help organizations protect AI environments and recover from unwanted agent-driven changes.
Q. How does AgentRecover differ from AI observability or monitoring?
A. AgentRecover connects information about agents and their actions with protection coverage and recovery capabilities. Its focus is not simply observing activity but helping teams understand which resources may require recovery and connecting that understanding to recovery of affected components or the broader AI system.
Q. Which AI agent platforms are part of the initial expansion?
A. Initial AgentRecover platform support is planned for Microsoft Foundry and Amazon Bedrock AgentCore. Availability and capability scope vary by platform and release. Consult current Commvault product documentation or contact Commvault for the latest supported scope.
Q. How does AgentRecover help identify protection gaps?
A. AgentRecover correlates agent-connected resources and dependencies with protection status. This helps teams identify resources that may lack appropriate protection and assess recovery readiness across their AI environment. Protection status visibility should not be confused with automatically configuring protection or recommending a particular backup action.
Q. How does recovery from an unwanted agent action work?
A. AgentRecover uses information about the agent’s actions and associated or affected resources to help determine what needs recovery. Depending on the incident and workload capabilities, it helps teams recover affected components or the broader AI system to a trusted point. This does not imply selective reversal of only the agent’s changes.
Q. How does AgentRecover relate to Agent Studio and Data Activate?
A. AgentRecover protects and recovers AI environments. Agent Studio is intended to support building and managing agents for resilience workflows. Data Activate is designed to make protected data available for AI and analytics. They serve different purposes within Commvault’s broader AI resilience strategy; Agent Studio and Data Activate are not part of the core AgentRecover solution.
Teja Medasaniis AI Principal Product Manager at Commvault, andVir Choksiis Principal Product Marketing Manager at Commvault.
