A Missile Near a Data Center Put One Question on Every CISO's Desk: Where Does Your AI Actually Run?

When geopolitics meets your AI stack

In 2026, a missile strike near a major data center in the Middle East served as a stark reminder that AI infrastructure is not immune to geopolitical shocks. Companies that had assumed their AI provider's geographic diversity would protect them discovered that regional conflicts, sanctions, or infrastructure disruptions can affect even well-distributed systems.

The fragility of far-away compute

When your AI runs on infrastructure in another region, you are exposed to that region's risks: geopolitical instability, regulatory changes, energy shortages, natural disasters, and connectivity disruptions. The farther your compute is from your business, the more uncontrollable variables affect your uptime.

Resilience as a buying trigger

CNBC reported that the data center incident in the Gulf triggered a wave of enterprise inquiries about AI infrastructure resilience. CISOs and procurement teams began asking questions they had not asked before: Where exactly does our inference run? Is there geographic redundancy? Can we fail over to a sovereign deployment in our region?

Multi-region, sovereign failover

Plugsky supports multi-region sovereign deployments with automatic failover. If one region is disrupted, traffic is routed to another sovereign deployment in a different region. The failover is transparent to applications — your endpoint stays the same, your API calls continue working, and your data stays in jurisdictions you control.

Continuity planning for AI

Continuity planning for AI is becoming a standard part of enterprise resilience programs. Key elements include geographic diversity of AI infrastructure, documented failover procedures, regular failover testing, and the ability to run in degraded mode with reduced model capability. Companies that have done this planning are the ones that keep running when others stall.