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Druva Adds Agentic Workflows, Deep Analysis Agents to DruAI Platform

Key Takeaways

  • Druva launched Deep Analysis Agents designed to automate multi-day forensic and compliance investigations and return finished reports in minutes.
  • The update adds "Notify Me" background workflows, Agentic Memory for persistent context, and role-aware personalization.
  • Druva reports more than 3,000 active DruAI customers and says usage has contributed to a decline in support case volume.

Druva has announced an expansion of its DruAI platform, introducing Deep Analysis Agents and new agentic workflow capabilities aimed at automating complex forensic, compliance, and operational investigations.

Details are outlined in the company's official announcement and companion blog post.

The release advances DruAI beyond what Druva previously positioned as a conversational copilot. "IT teams are drowning in evidence collection and manual reporting," said Stephen Manley, CTO at Druva. "This release turns AI from a conversational assistant into a partner that completes work. We are enabling teams to delegate multi-day investigations to agents that finish in minutes and deliver a final report that can be immediately shared with security, compliance, or operations teams."

Deep Analysis Agents and 'Notify Me' Workflows

At the center of the update are Deep Analysis Agents — long-running agents designed to break investigations into steps, coordinate across systems, and synthesize findings into a consolidated report. Druva said investigations that previously required two to three days of manual effort can now be completed in approximately eight to 10 minutes, with output formatted for direct use by security, compliance, or operations teams.

A new "Notify Me" workflow allows users to trigger a deep analysis and let it run in the background. Once complete, DruAI e-mails a synthesized report, reducing the need for interactive sessions during extended investigations.

The enhancements are built on Dru MetaGraph, described in the blog as Druva's tenant-specific, graph-powered intelligence layer designed to understand relationships across backups, identities, configurations, telemetry, and audit artifacts. The company said this foundation enables DruAI to move from answering individual questions to executing multi-step investigative workflows with continuity and context.

Druva, which specializes in cloud-native data security, protection, and recovery across enterprise environments, also introduced Agentic Memory, which allows DruAI to retain short-term session context and structured long-term organizational knowledge. According to the company, this enables cognitive continuity across sessions and semantic learning of organization-specific terminology. The result is role-aware and preference-aware output tailored to IT administrators, security operations center analysts, and compliance officers.

The blog post cites adoption metrics for DruAI, reporting more than 3,000 active customers, over 17,000 total conversations, and a 67% case resolution rate. Druva said usage has contributed to a 12.6% quarter-over-quarter drop in support case volume, equivalent to 550 fewer cases.

The update also adds multimodal capabilities, allowing users to upload screenshots of error messages, alerts, configuration pages, or other system behavior directly into the console. DruAI interprets the image and provides guided troubleshooting steps, extending analysis beyond log files and metadata.

Druva said the new capabilities are generally available. For more information, visit the Druva site.

About the Author

David Ramel is an editor and writer at Converge 360.

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