Druva, a global leader in data security, has announced the expansion of its DruAI platform with the launch of AI-powered agents designed to simplify cyber resilience and automate data protection tasks. The move marks a shift toward agentic AI, allowing enterprises to move beyond query-based models and leverage AI systems capable of executing actions in real time.
Agentic AI Built on AWS
Developed on Amazon Bedrock AgentCore, the new DruAI Agents can interpret intent, analyze risks, and take direct action to secure and recover data. This advancement aims to reduce manual intervention and help organizations respond to threats faster and with greater efficiency.
“AI must evolve from simply assisting users to executing complex operations and reacting instantly to cyber incidents,” said Jaspreet Singh, CEO and co-founder of Druva. “By embedding agentic AI directly into our platform, customers gain stronger data protection at no additional cost.”
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Rich Geraffo, Vice President & Managing Director, AWS North America, added, “By integrating with Amazon Bedrock AgentCore, Druva is giving customers autonomous agents that proactively secure and manage data. It demonstrates how AWS enables partners to deliver secure and scalable AI solutions.”
Use Cases Driving Agentic Data Security
The introduction of DruAI Agents streamlines workflows by reducing manual processes. Key capabilities include:
- Data Agents: Identify risks and analyze telemetry data.
- Help Agents: Guide users through incident investigations and troubleshooting.
- Action Agents: Automate tasks such as workload recovery, policy creation, and cost optimization.
Notable use cases include:
- One-Command Application Recovery: DruAI can restore entire workloads (e.g., EC2 instances with configuration and volumes) using a single prompt.
- Instant Risk Detection: The system flags anomalies, suspicious behavior, and generates executive-level summaries.
- AI Testing Sandbox: Built-in datasets allow teams to safely experiment with AI-driven recovery scenarios and prompts before deploying in live environments.
Proven Impact and Future Roadmap
DruAI has already been adopted by over 3,000 organizations and 10,000 users, facilitating more than 11,000 AI-assisted workflows in areas such as recovery, troubleshooting, and configuration. Reported results include:
- 63% of issues resolved directly through DruAI.
- 58% faster support resolution for cases requiring human input.
- 0% hallucination rate, thanks to strict data integrity controls.
- Looking ahead, Druva plans to expand DruAI capabilities to:
- Cut cyber investigation resolution time by up to 70%.
- Automate up to 90% of common data protection tasks through natural language.
- Reduce backup troubleshooting from hours to minutes.
- Industry and Customer Perspectives
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Early users have praised the new AI-powered features:
James Bopp, Sr. Director of IT, Roland Foods, said: “AI-powered account summaries provide instant visibility into backup activity, allowing us to manage risks more proactively.”
Priya Choudhary, Senior Endpoint Management Lead, ZS Associates, noted: “Having AI that not only analyzes but takes meaningful action will reshape how we work.”
Johnny Yu, Research Manager at IDC, commented: “Druva’s approach embeds AI directly into workflows, allowing for real-time decision-making and action, while maintaining user oversight.”
Security and Compliance First
The DruAI platform is designed with a zero-trust model and adheres to global compliance frameworks such as FedRAMP, SOC2, GDPR, and IRAP. Data remains encrypted, and AI models do not access or learn from customer datasets. Instead, DruAI uses private RAG (Retrieval-Augmented Generation) models and works exclusively with metadata, ensuring sensitive information stays protected.
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