Druva Announces AI Agents to Simplify Cyber Resilience

Druva, a provider of data security, recently announced an expansion to DruAI, its suite of AI capabilities for customers.

Agentic AI capabilities in critical security tasks make teams more efficient in recovery

DruAI’s new capabilities include multiple agents that automate critical tasks, helping security teams proactively respond to risks and recover more quickly.

With DruAI Agents, organizations can utilize them to interpret user intent, analyze data, and take meaningful action.

“At Druva, our vision is that AI will not only assist users, but autonomously execute complex tasks, respond to threats in real-time, and deliver a dynamic user interface personalized to users’ needs,” said Jaspreet Singh, CEO and co-founder of Druva. “Today’s announcement takes a leap forward in that direction. Agentic AI will completely transform how users interact with their software, and we’re embedding that functionality directly into our platform at no added cost to the customer. AI will significantly simplify data security, and we’re dedicated to ensuring customers stay ahead of constantly evolving cyber threats.”

DruAI Agents for agentic data security

The AI agents that Druva is offering include:

• Data Agents: Work to surface key signals and trends from telemetry, risk indicators, and history.
• Help Agents: These agents guide users by troubleshooting problems, investigating incidents, and recommending next steps.
• Action Agents: These carry out specific tasks, including recovering workloads, creating protection policies, or adjusting retention to optimize costs.

Among the use cases for these DruAI Agents are:

• Restoring applications with a single command: Customers can utilize DruAI to orchestrate full workload recovery, eliminating the need to manually piece together infrastructure components.
• Understanding risk and anomalies instantly: The agents streamline cyber investigations by eliminating the need to dig through dashboards, logs, and alerts to understand what has changed and what’s at risk. Data and Help Agents automatically surface anomalies, flag suspicious patterns, and generate executive-level summaries for quicker decisions and response.
• Experiment with AI in a controlled environment: DruAI can use built-in synthetic datasets, allowing customers to test AI prompts, simulate recovery scenarios, and evaluate outputs within a secure sandbox. This helps teams validate results, explore new use cases, and train users before applying AI in production environments.

“The AI-powered account summary analysis is a meaningful update. I’m not in Druva every day, but I need confidence that our admins are keeping backup activity on track to stay ahead of risks,” said James Bopp, the senior director of IT at Roland Foods. “This instant analysis capability gives me that assurance in seconds, without sifting through data or reports. It’s the kind of visibility and intelligence that helps us move from checking status to proactively managing risk.”

One year after initial launch, results show impact of emerging technologies

So far, DruAI has had more than 3,000 customers and 10,000 users over the past year to investigate and remediate issues. According to Druva, the impact so far includes:

• 63 percent of customer issues were resolved directly with DruAI.
• 58 percent faster resolution of support cases requiring human intervention using telemetry-based context.
• Zero percent hallucination rate as DruAI is built with strict data integrity controls.

Over the next year, Druva plans to advance DruAI’s capabilities, such as reducing the average time-to-resolution for cyber investigations by 70 percent, enabling 90 percent of routine data protection tasks through natural language interactions, and shortening backup troubleshooting time from hours to under 10 minutes.

Demand for AI agents goes hand in hand with a demand for agent oversight to accelerate. Read more about Noma Security’s latest funding round, which will be used to keep AI agents in check.