What happens when the artificial intelligence your business depends on suddenly stops working?

AI is rapidly becoming embedded in everything from cybersecurity operations and customer service to software development, finance, and everyday business processes. Organizations are embracing AI automation and autonomous AI agents to improve productivity, reduce costs, and accelerate decision-making.

But there's a question very few organizations are asking:

What happens when the AI stops working?

In this episode of AI Security Multipliers, Steve explores the growing operational risks of enterprise AI dependency and why traditional business continuity and disaster recovery plans may not be prepared for an extended AI outage.

Drawing on his personal experience during Hurricane Katrina, Steve shares how a seemingly resilient data center in New Orleans became unavailable when its backup generator ran out of fuel, while critical offsite backup tapes remained inaccessible.

It's a powerful reminder that having a disaster recovery plan doesn't necessarily mean you can recover.

Through a fictional enterprise-wide AI outage, we explore:

• AI dependency: How organizations are becoming increasingly reliant on AI services and autonomous agents.
• Business continuity: Why traditional disaster recovery plans may overlook critical AI dependencies.
• Third-party risk: How multiple enterprise applications can depend on the same underlying AI provider.
• AI vendor lock-in: Why switching AI models, platforms, and agents may be harder than expected.
• Cybersecurity resilience: What happens when security operations teams lose their AI investigation and response capabilities.
• Workforce readiness: The risks of losing the human expertise needed to operate when automation fails.
• AI governance: Why business leaders, CIOs, CISOs, and enterprise risk teams must jointly manage AI resilience.
• Practical recovery planning: How to identify AI dependencies, establish fallback capabilities, and test organizational readiness.

We also explore a potentially more dangerous scenario: What if AI doesn't stop working, but starts producing incorrect results while appearing perfectly healthy?

This isn't an argument against AI adoption. It's an argument for making sure the organizations we're building remain resilient as AI becomes increasingly essential.

Because the real question isn't whether your AI provider can recover from an outage.

It's whether your business can survive while it does.

The Multiplier: A practical exercise to test what would happen if a critical AI service disappeared for 24 hours—or an entire week.

AI Security Multipliers explores artificial intelligence, cybersecurity, AI governance, enterprise risk, and the practical challenges of adopting AI responsibly.

Topics: AI business continuity, AI disaster recovery, agentic AI, AI outages, operational resilience, cybersecurity, enterprise AI risk management, third-party risk, AI governance, business impact analysis, AI vendor dependency, and autonomous AI agents.

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