Agent Recover capability
AI Data and Workload Protection
Protect and recover the data systems, applications, and infrastructure behind enterprise AI.
Dive in
Protecting the AI stack
Explore strategies for protecting AI data, systems, and supporting environments.
Why it matters
Benefits
Keep the data and workloads behind enterprise AI recoverable.
Protect more of the AI stack
Wider coverage
Protect AI data stores, indexes, vector systems, and infrastructure.
Restore to trusted points
Recovery readiness
RecoverAI-related data and workloadsto a trusted point.
Protect more than data
Workload context
Preserve metadata, configurations, indexes, and other workload context.
Support AI workflow recovery
Lower disruption
Recover critical data, metadata, and configuration that AI operations depend on.
Recover with confidence
Resilient protection
Use immutable and isolated protection to support clean recovery of AI workloads.
Protect diverse AI environments
Flexible coverage
Protect data and workloads across cloud, SaaS, and enterprise infrastructure.
How it works
Features
Protect AI and analytics workloads
Safeguard critical datasets across modern data platforms and distributed architectures.
Protect Snowflake data
Back up and restore supported databases, schemas, tables, views, functions, and procedures.
Protect Azure Databricks environments
Back up and restore supported workspace, catalog, table, pipeline, and AI resources.
Analyst Report
Gartner® Magic Quadrant™
For the 15th time in a row, Commvault has been named a Leader in the Gartner® Magic Quadrant™ for Backup and Data Protection Platforms.
Our Reach
Customer perspectives
Supporting more than 100,000 companies
“In our business, there could be a homeowner sitting outside of the house waiting for escrow to close, and if it takes two days to recover a file, we can’t get them into that home.”
“With Commvault, we have reduced the storage needed for backups by 35 percent, which allows us to retain multiple snapshots of our data and mitigate the risk of data loss in a disaster scenario.”
“Getting Commvault Cloud up and running was virtually done in minutes. This is the customer experience that we were expecting a SaaS-based backup solution would give us.”
Use case
Protect AI Data Pipelines
Explore a related use case for monitoring and protecting AI data pipelines.
Related to this Capability
Explore related solutions, capabilities, and use cases.
ai recovery solution
AgentRecover
Full-stack AI recovery. Discover supported AI agents and dependencies, understand agent-driven changes, and recover affected components or connected AI systems to a trusted point
Agent Action Recovery
Use information about agent actions and affected resources to guide recovery.
Learn moreFrequently Asked Questions
What is AI Data and Workload Protection?
AI Data and Workload Protection is an AgentRecover capability focused on protecting and recovering supported AI-related data and workloads, including data systems, applications, AI platforms, and infrastructure behind AI use cases.
How is this different from Agent Action Recovery?
AI Data and Workload Protection protects and recovers the data systems and enterprise workloads behind AI applications. Agent Action Recovery uses information about agent actions and affected resources to help identify unwanted changes and determine what needs recovery.
Which AI data and workloads can Commvault protect?
Commvault protects supported AI-related data and workloads, including lakehouses, data warehouses, vector databases, open table formats, applications, and supporting infrastructure. Examples include Databricks, Snowflake, Amazon Redshift, Google BigQuery, Pinecone, Amazon S3 Tables, and Apache Iceberg. Coverage varies by workload and release.
Why protect AI data and workloads?
AI environments depend on data, applications, metadata, configurations, indexes, and connected services. Protecting these components helps organizations recover AI workflows to trusted points after disruption, corruption, data loss, or cyber incidents.
How should teams get started?
Start by identifying the AI data systems, applications, platforms, and infrastructure most critical to the business. Then confirm supported scope, recovery requirements, and the applicable Commvault protection and recovery offerings.
