NetApp Unveiled New AI Storage Architecture

The company introduced a behavior-based policy engine designed to secure data for autonomous AI agents.

Updated on Oct. 5, 2026 in Artificial Intelligence

NetApp Unveiled New AI Storage Architecture

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Do you trust companies to maintain control over autonomous AI agents handling your personal data?

NetApp announced the Novus storage architecture and an AI Data Engine at NetApp INSIGHT. The new system includes a policy engine that flags unusual data use by AI agents to prevent unintended consequences.

Why it matters

Organizations are increasingly prioritizing the prevention of accidental risks caused by autonomous agents over traditional threats. This system automates security responses to agent activity at machine speed.

The AI Data Engine can be deployed against existing NetApp storage systems. The new architecture integrates security signals directly with Microsoft Sentinel and Cisco Splunk.

The players

NetApp

NetApp is a global leader in hybrid cloud data infrastructure and storage solutions.

Microsoft Sentinel

This is a cloud-native security information and event management service provided by Microsoft.

Cisco Splunk

Splunk, now part of Cisco, provides platforms for searching, monitoring, and analyzing machine-generated big data.

Commvault Systems

Commvault is a provider of data management and recovery software solutions for enterprise organizations.

The details

NetApp also integrated autonomous ransomware protection with Commvault Systems recovery workflows. Automation replaces human-in-the-loop reviews to ensure data security keeps pace with rapidly evolving AI agent behaviors.

Timeline

  1. October 2026: NetApp announced new storage architecture and security integrations.

The Tech Race

This development reflects the growing trend of integrating storage infrastructure with platforms like the Microsoft Sentinel security platform. It signals a shift toward automating security protocols to manage the risks inherent in autonomous AI agent deployment.

IT administrators and developers can now test the AI Data Engine through a six-month free trial to evaluate its behavior-based policy controls. This allows companies to automate data oversight without immediate infrastructure investment.

The takeaway

Autonomous agents require machine-speed security to prevent accidental data misuse during high-velocity operations. Adopting behavior-based policies helps teams shift from reactive monitoring to proactive automated defense.

Further reading

Learn more about the latest innovations in Artificial Intelligence to see how autonomous agents are changing enterprise security.

Live Poll

Do you trust companies to maintain control over autonomous AI agents handling your personal data?