Druva Introduces Dru MetaGraph and New DruAI Agents to Unlock Intelligence from Backup Data

Druva Inc., a key provider of data security, announced Dru MetaGraph, a secure, tenant-specific, graph-powered foundation for real-time metadata intelligence, and two new DruAI Agents – Insights Agent and Lifecycle Agent. Together, these innovations help customers uncover insights near-instantly, simplify decision-making, and act more quickly across cyber, compliance, and operational workflows.Historically, backup intelligence has been limited to static dashboards and siloed reports, putting the burden on teams to piece together insights across multiple tools or wait for days or weeks until data analysts could pull the appropriate information. Dru MetaGraph changes that by making all backup metadata queryable, contextual, and actionable for AI – transforming backup from a passive system of record into an active intelligence layer for security, compliance, and operational decisions.

Making Backup Data Actionable
Dru MetaGraph aggregates all backup metadata – such as file attributes, permissions, identity information, and privacy data – into a secure metadata layer combined with graph intelligence. In most environments today, teams must extract, transform, and load backup metadata into separate systems before it can be analyzed – adding time, complexity, and cost in order to understand the data. Dru MetaGraph eliminates this step by making metadata immediately usable for AI inside the Druva platform, with end-to-end encryption and tenant-level isolation, at no additional cost or complexity to the customer.

This architecture provides a single, queryable foundation for AI insights. With the MetaGraph, DruAI Agents can analyze metadata relationships and context in real time to help organizations pinpoint risks, streamline compliance reporting, and improve operational efficiency – all without moving or exposing sensitive data.

Expanding the DruAI Fleet of Agents
The Insights Agent and Lifecycle Agent join Druva’s expanding team of AI agents, building on agentic capabilities announced last month.

Dru Insights Agent brings real-time intelligence directly into dashboards and reports, distilling complex data into clear, prioritized insights. Instead of scanning dozens of charts or alerts, users can view at-a-glance summaries of the most important risks, anomalies, and trends – along with recommended next steps to address them before issues escalate.

Dru Lifecycle Agent enables organizations to analyze metadata across the entire data lifecycle – from creation to archival – and use those insights to take targeted actions on their data. With natural language queries, teams can quickly pinpoint stale or non-compliant data, surface orphaned accounts before they become risk vectors, and enforce retention policies at scale.

Instead of manually assembling reports, customers can ask questions like “Show me data that is not compliant to PCI retention adherence” or “Who is holding sensitive corporate data in individual accounts?” The Lifecycle Agent translates these questions into queries vs. the MetaGraph and returns contextual answers, helping teams move directly from discovery to action.

In addition, the Lifecycle Agent allows teams to turn queries into ongoing visualizations and dashboards. After responding to a query, DruAI can present the option for users to view results as a chart that can be pinned to their dashboard for future use. This enables users to build personalized views of their dashboards, refresh them over time, and create a dynamic, customizable workspace for monitoring compliance, risk, or operational trends.

Together, these agents reduce time-to-insight, giving IT and security teams the context they need to act with confidence and stay ahead of emerging threats.

Secure by Design, Built for Scale
Dru MetaGraph and all DruAI Agents run entirely within the Druva platform, analyzing metadata only, never the customer data itself. Each customer has their own isolated MetaGraph in their tenant with end-to-end encryption and strict compliance with global standards like FedRAMP, SOC2, and GDPR. Customer data never leaves its boundary, ensuring every organization’s intelligence layer remains private and secure.

To further protect this environment, Druva uses private retrieval-augmented gen (RAG) and isolated large language models (LLMs) to deliver accurate, context-aware answers without exposing sensitive information or sharing data across tenants.

The Insights Agent is available today. The Lifecycle Agent will be available soon.