Conference Description
Key Takeaways
- Focuses on cloud resilience strategies for organizations deploying AI in production environments
- Addresses recovery from outages, ransomware, and AI-related failures across code, data, and applications
- Features speakers from AWS, Microsoft, Google, Rubrik, Lending Tree, Citizens, and TGS
- Designed for cloud architects, security leaders, DevOps engineers, and executives responsible for uptime and risk
- Virtual format with CPE credits available
About the Event
The Cloud Resilience Summit is a virtual event hosted by Rubrik that examines how organizations can build cloud infrastructure capable of rapid, provable recovery. As AI workloads move from pilot projects into production, the summit explores the expanded risk surface this creates and the resilience capabilities required to address it.
The program combines keynote sessions, technical panels, and case studies featuring cloud and security leaders from major technology providers and enterprise organizations. Sessions draw on real-world recovery scenarios to illustrate practical approaches to unified protection across cloud environments.
Technical Focus Areas
The summit covers cloud resilience architecture, data protection for AI workloads, software supply chain security, and application recovery. Technical discussions include CI/CD pipeline protection, data lakehouse security, BigQuery environments, and object storage resilience. DevOps protection and cloud platform engineering practices feature prominently in the agenda.
Business and Risk Considerations
Beyond technical implementation, the event addresses board-level risk management and the business case for resilience investments. Sessions examine how to demonstrate auditable, provable recovery capabilities to satisfy both technical teams and business stakeholders, particularly given the costs associated with cloud downtime.
Who Should Attend
The summit targets cloud platform engineers, IT directors, CISOs, cloud architects, DevOps engineers, and compliance officers. It is particularly relevant for professionals in finance, technology, and enterprise IT who are responsible for uptime, recovery planning, and risk management in organizations running AI workloads on cloud infrastructure.