Artificial intelligence is rapidly becoming a critical part of business operations—but few organizations have asked the most important question: What happens when AI goes down?

In Part 4 of the Disaster Recovery & Business Continuity Series, Paul sits down with Joe Ross, Joe Galvan, Terry Murray, John Parker, and Stephen Sepulveda as the team explores why AI is creating an entirely new category of disaster recovery challenges. From cloud-based AI services and on-premises LLMs to identity dependencies and the security risks of vibe coding, today’s recovery plans weren’t designed for tomorrow’s AI-driven business.

If AI is making decisions, powering workflows, and helping employees work faster, it also needs a recovery strategy.

Part 4 of 5 in the Disaster Recovery & Business Continuity Series.

Topics Discussed:

• Why AI is becoming a mission-critical business service
• The new single points of failure AI introduces
• Vibe coding and emerging security risks
• Cloud AI vs. on-premises AI recovery
• Who owns AI when systems fail?
• Why AI belongs in every disaster recovery plan