AWS re:Invent 2025 - Deploy AI Agents with Confidence & Control with Rubrik and AWS (ISV320)

AWS re:Invent 2025 - Deploy AI Agents with Confidence & Control with Rubrik and AWS (ISV320)

Overview

This presentation from the AWS re:Invent 2025 conference focuses on how organizations can deploy AI agents with confidence and control using Rubrik and AWS. The speakers discuss the challenges of managing AI-powered applications at scale and introduce a joint solution from Rubrik and AWS that addresses these challenges.

Key Challenges in AI Deployment

• Complexity: Deploying and managing AI-powered applications can be highly complex, requiring specialized skills and infrastructure.
• Governance and Control: Organizations need robust governance and control mechanisms to ensure the responsible and secure use of AI.
• Scalability: As AI adoption grows, organizations need solutions that can scale to handle increasing volumes of data and AI models.
• Reliability and Resilience: AI-powered applications must be highly reliable and resilient to ensure continuous operation and data protection.

Rubrik and AWS: A Joint Solution

• Rubrik Polaris AI Platform: A comprehensive AI management platform that provides a unified control plane for deploying, managing, and governing AI agents across the enterprise.
• AWS AI and ML Services: Leverages the breadth of AWS's AI and machine learning services, including Amazon SageMaker, Amazon Comprehend, and Amazon Rekognition, to power the AI agents.
• Integrated Approach: The joint solution from Rubrik and AWS combines the governance and control capabilities of Rubrik Polaris with the scalable and reliable AI/ML services of AWS.

Key Features and Capabilities

1. Centralized AI Management:
   • Rubrik Polaris provides a single pane of glass for managing all AI agents and models across the organization.
   • Enables IT teams to deploy, monitor, and govern AI agents with ease.
2. Automated AI Lifecycle Management:
   • Automates the deployment, scaling, and updating of AI agents to ensure optimal performance and reliability.
   • Leverages AWS's auto-scaling capabilities to dynamically adjust resources based on demand.
3. Governance and Compliance:
   • Robust access controls, audit trails, and policy enforcement to ensure the responsible and secure use of AI.
   • Integrates with existing enterprise security and governance frameworks.
4. Data Protection and Resilience:
   • Rubrik's data protection and disaster recovery capabilities ensure the reliability and resilience of AI-powered applications.
   • Enables rapid recovery in the event of data loss or system failures.
5. Scalability and Performance:
   • Leverages the scalable and high-performance infrastructure of AWS to handle growing volumes of data and AI models.
   • Ensures that AI agents can be deployed and scaled quickly to meet changing business demands.

Use Cases and Business Impact

1. Intelligent Automation:
   • Deploy AI-powered chatbots, virtual assistants, and process automation agents across the enterprise.
   • Improve customer experience, increase operational efficiency, and reduce costs.
2. Predictive Maintenance:
   • Leverage AI to predict equipment failures and schedule proactive maintenance.
   • Reduce downtime, extend asset lifespan, and optimize maintenance budgets.
3. Fraud Detection and Risk Management:
   • Use AI to detect and prevent financial fraud, assess credit risk, and manage regulatory compliance.
   • Enhance security, reduce losses, and ensure regulatory compliance.
4. Personalized Customer Experiences:
   • Leverage AI to deliver personalized product recommendations, content, and customer interactions.
   • Improve customer satisfaction, increase sales, and build stronger customer relationships.

Conclusion

The joint solution from Rubrik and AWS addresses the key challenges in deploying and managing AI agents at scale. By providing a centralized platform for AI governance, lifecycle management, and data protection, organizations can unlock the full potential of AI while maintaining control and confidence in their AI-powered applications.