Commvault introduces new AI solutions that help companies use AI with confidence. The tools ensure that data, agents, and recovery processes operate in a controlled way within the agentic workflow.
The rise of artificial intelligence is becoming increasingly embedded in the core processes of companies. Implementation also brings significant risks, particularly in the areas of data security and governance. Many organizations struggle to balance innovation with control.
Concerns are high: according to Deloitte research, sixty percent of managers see risks and compliance as the biggest obstacles to deploying agentic AI. These new solutions from Commvault are specifically designed to reduce this tension and give IT teams more control over the complex workings of modern AI systems.
Secure AI activation
Data Activate allows organizations to classify and collect data, all directly from protected backups. This enables verified datasets, in universal formats such as Apache Iceberg, to be prepared for use by large language models and various data platforms. This makes feeding AI pipelines with reliable data significantly easier.
The solution is based on the governance and zero-trust architecture of Commvault Cloud. This minimizes the exposure of sensitive data to AI applications, thereby enabling secure and controlled data activation. IT teams can use it to detect and exclude personally identifiable information before activating datasets for model development.
Maintaining control
As the application stack becomes more complex, AI agents can make unintended changes to configurations and data. AI Protect helps organizations identify vulnerabilities and map the impact of these agent changes. It enables companies to recover applications and the entire stack after an incident.
In addition, AI Studio allows organizations to develop custom agents for specific needs. The solution also provides access to a collection of built-in agents for common cyber resilience scenarios. All of this is managed via the Model Context Protocol (MCP) server, which facilitates integration with other business systems.
The total cycle
With these solutions, teams can establish a complete AI resilience lifecycle. This scope ranges from secure data activation to the governance, protection, and recovery of AI agents in on-premises environments, SaaS environments, or hybrid clouds.
Commvault emphasizes that AI agents themselves depend on the integrity of the data. Data recovery is therefore equally important, making the need for advanced governance and recovery procedures even greater.