Artificial intelligence is transforming how data is created, used, and attacked from automated model training pipelines to AI-assisted ransomware campaigns. Yet many organizations still rely only on backup and recovery approaches that were never designed for AI workloads, distributed environments, or always-on business expectations.
Data Protection in the Age of AI: Rethinking Recovery, Resilience, and Risk explores why prevention alone is no longer enough and why rapid, reliable recovery has become a true differentiator for business resilience in 2026.
In this white paper, you’ll learn:
- Why AI-driven threats and automation are widening the gap between perceived and actual recovery readiness
- How distributed data environments (cloud, hybrid, edge, SaaS, and AI workloads) are increasing complexity and blind spots
- Where most organizations overestimate recovery capabilities and why testing often fails in real-world incidents
- Why resilience and recovery speed, not just prevention, now define effective data protection strategies
- Actionable recommendations for 2026 to move from risk to readiness, including recovery planning, coverage gaps, and partner strategy
Uncover recovery gaps, reduce complexity, and prepare your organization for AI-driven disruption before it becomes a business crisis. Fill out the form to get instant access to the white paper today.