Business Continuity Management / Disaster Recovery
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Cloud Security
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Data Backup and Recovery

As autonomous AI becomes embedded across enterprise operations, infrastructure and IT teams are being asked to manage environments that are more complex, dynamic and difficult to control than ever before.
From shadow AI and expanding data exposure to operational disruption and recovery concerns, organizations need new strategies to maintain resilience as AI adoption scales.
Traditional security and recovery models were not built for machine-speed AI environments.
This session will explore how organizations can improve operational visibility, strengthen data protection strategies and prepare infrastructure teams to manage the growing risks associated with autonomous AI systems.
Experts will discuss the role of resilience, recovery and operational trust in helping enterprises safely adopt AI without compromising business continuity.
What Attendees Will Learn:
- Why autonomous AI is creating new operational and infrastructure risks
- The impact of shadow AI on enterprise environments
- How to improve resilience and recovery readiness for AI-driven systems
- Strategies for protecting enterprise data across AI workflows
- Best practices for maintaining visibility and operational control
- How infrastructure teams can support secure AI adoption at scale
