Commvault unveiled new AI security partnerships, data governance integrations, and recovery capabilities at its SHIFT conference, expanding its approach to protecting enterprise AI environments and restoring operations following cyber incidents or unintended AI agent activity.
Among the announcements are:
- A collaboration with Nvidia to put more data to work safely for AI.
- A strategic partnership with Zscaler.
- Commvault Data Activate for Databricks, a joint solution to unlock trusted enterprise data for AI.
- The introduction of Recovery Studio.
- Expanded AgentRecover capabilities for full-stack AI recovery.
Commvault and Nvidia expand governed data access for AI
The newly announced collaboration with Nvidia will help enterprises make more of their data usable for AI while keeping data current, authorized, and governed as it feeds AI applications and agents.
The integration combines Nvidia NIM microservices, Nemotron Retriever, and cuVS with Apache Solr to make Commvault-protected enterprise data easier for AI applications and agents to access and use.
Through Data Activate, organizations can keep that information current as source data, retention policies, and permissions change, while maintaining visibility into data ownership, classification, and lineage.
“Customers should get more from the enterprise data they already manage,” said Alan Atkinson, Chief Business Development Officer, Commvault. “Together with NVIDIA, we’re helping operationalize data for AI without creating another disconnected data pipeline.”
Zscaler partnership targets AI security and recovery
Commvault and Zscaler announced a strategic partnership during the event, aimed at helping customers “adopt AI with confidence and control while also being able to rollback and recover from harmful agentic activity.”
The partnership will focus on improving enterprise visibility into AI applications, models, and tools while strengthening governance and recovery capabilities. The companies aim to help organizations identify unauthorized AI activity, enforce policies that protect sensitive data, and secure autonomous agent operations. Their combined capabilities are also intended to support rapid recovery when security incidents or unintended AI actions disrupt business operations.
“As AI interacts more directly with business data, organizations need to stay in control and be prepared to recover quickly if something goes wrong,” said Dhawal Sharma, EVP of AI Security and Strategic Initiatives, Zscaler.
“Zscaler secures AI use across the enterprise, giving organizations the controls they need to manage risk and protect sensitive data. We’re proud to bring the expertise of Zscaler and Commvault together to help customers strengthen recovery and resilience,” Sharma adds.
Databricks integration brings protected data to AI workloads
Commvault also announced the launch of a joint solution that leverages Commvault’s built-in policy governance and automation, Commvault Data Activate for Databricks.
Organizations are leveraging Data Activate to make governed data and context available in Databricks without requiring them to rebuild connections to every data source.
The solution is built on Databricks, prepares enterprise data managed by Commvault, and shares it through OpenSharing as governed tables that organizations manage with Unity Catalog and use across their Databricks analytics and AI applications.
Data Activate for Databricks enables organizations to make Commvault-protected enterprise data available for analytics, AI applications, and agents without rebuilding connections to individual data sources.
The solution preserves business context, including ownership, access permissions, and data lineage, while maintaining retention and recovery controls. It also reflects changes to source data over time, helping ensure AI applications and analytics use current, governed information.
“Enterprise data is most valuable in Databricks. Customers tell us their data is most valuable in Databricks when that data’s context travels with it,” said Stephen Orban, SVP Product Partnerships and Ecosystem, Databricks. “Working with Commvault can expand the governed trusted data available across Databricks, giving search, analytics, and AI applications more to work with across the business.”
Recovery Studio expands full-stack recovery orchestration
Commvault has unveiled Commvault Recovery Studio for enterprise discovery, which uses precise automation to bring the business back, not just the data.
Recovery Studio uses automated, context-aware runbooks to orchestrate the restoration of interconnected enterprise systems, including applications, infrastructure, identities, configurations, and data.
The platform can sequence recovery tasks, incorporate threat scanning to identify compromised resources, and coordinate the restoration of security and network settings. By bringing operational, disaster, and cyber recovery workflows into a unified platform, Commvault aims to reduce the manual complexity of restoring business operations.
“For cloud-based applications, recovery must include infrastructure, network, and identity configurations as well as the data, files, and objects,” said Johnny Yu, Research Manager, IDC. “Commvault’s offering addresses the complexity of full application revival by allowing organizations to build and validate recovery runbooks for different applications and scenarios in a unified hub.”
AgentRecover adds support for enterprise AI platforms
Finally, Commvault announced new AgentRecover capabilities to help organizations audit agent activity, restore agents, and recover the data and systems they affected across environments.
The company is extending full-stack recovery across supported AI agents and the enterprise systems they interact with, and is adding support for Amazon Bedrock AgentCore and Microsoft Foundry.
The expanded AgentRecover capabilities extend protection to AI agents built on supported platforms, including Amazon Bedrock AgentCore and Microsoft Foundry. The solution helps organizations discover agents and map their connections to enterprise applications, data, identities, and infrastructure.
It also provides visibility into agent activity to identify unintended changes or security incidents, allowing organizations to prioritize recovery and restore affected agents, data, and systems.
“As AI agents take on a greater role in business, resilience has to extend beyond the agent itself,” said Michele Buschman, Chief Information Officer, American Pacific Mortgage. “Agents may interact with regulated loan data, applications, and customer-facing systems. Recovering both the agent and affected systems after an unintended action would be essential for mortgage companies focused on compliance, keeping loans on track, and maintaining customer trust.”
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