The Day A Drone Took Banking Offline — And What It Means
Meet the experts

Antonina Skrypnyk
Head of FSI EMEA, Industry Success Lead
Modern conflicts disrupt digital infrastructure by damaging data centers, cloud regions, and subsea cables, while cyberattacks overload networks. Because cloud and AI systems are interconnected, local outages quickly spread across banking, telecom, and critical services worldwide.
For the first time, a regional cloud disruption wasn’t caused by technical failure — it came from a real‑world event, a drone attack that damaged two data centers in the UAE and affected a third in Bahrain. The result was immediate: major cloud services slowed or went offline across the Gulf.
Banks were among the first to feel the impact. ADCB experienced nearly two days of downtime, while Emirates NBD and FAB saw waves of interruptions. These institutions serve tens of millions of people who suddenly couldn’t pay bills or transfer money.
Are global businesses prepared for cloud outages that start outside of technology?
Digital infrastructure — cloud regions, data centers, subsea cables — now sits at the core of essential services. When one part of this system is disrupted, the effects travel quickly across borders because everything is globally interconnected.
We’re also seeing physical disruptions and cyber incidents overlap more often. Cloud and AI systems now power payments, logistics, communications, emergency services, and national infrastructure. Any interruption spreads much farther than it did a decade ago.
The 2026 Gulf outage, Russia’s hybrid-warfare tactics, and recent disruptions to subsea cables in the Red Sea and Baltic Sea showed how widespread the impact can be. Internet routing changed across continents, and AI performance slowed as workloads shifted to congested regions.
Learn how to Modernize Architectures for Resilience
Where do Enterprises Underestimate Their Risk?
Many leaders still assume that “being in the cloud” automatically means resilience. But in reality, depending on a single region or provider is now a material operational risk.
In one of the recent talks, a CIO of an EU-originated company that runs business globally summarized the concern on the US-dependency clearly: “What happens if tensions rise and the cables under the Atlantic go off?”
What regulations require resilience testing?
Regulations are surfacing this risk too. The Digital Operational Resilience Act (DORA), the New York State Department of Financial Services Cybersecurity Regulation (NYDFS), and the Saudi Central Bank Cybersecurity Framework (SAMA) all require organizations to audit data‑layer resilience, not just infrastructure diagrams. But most companies still don’t run real stress tests or examine hidden dependencies inside their SaaS, cloud, and AI tools.
Uncover Hidden Dependencies and Strengthen Data‑layer Resilience
What Recent Events Reveal About Cloud & AI Exposure
Local disruptions now spread globally. In the Gulf, banking services slowed. In Europe and the Middle East, damage affected internet traffic across multiple regions. AI workloads saw routing delays and reduced capacity, because GPUs in affected zones could not normally serve traffic. Cloud, network, and AI systems are tightly connected — and performance issues propagate worldwide.
What This Means for Financial Services and Other Industries
Across financial services, telecom, retail, aviation, payments, and the public sector, boards are now asking new questions:
- Where exactly do our cloud, SaaS, and AI dependencies run?
- Can we operate if a full region becomes unavailable?
- Do we have sovereign or multi‑region options ready?
- Does our data layer survive a real‑world failure, not just a planned exercise?
Frameworks like DORA and National Institute of Standards and Technology (NIST) require organizations to stress‑test resilience at the data layer. Yet few companies simulate what happens when core regions, connectivity paths, or GPU capacity become unavailable. This gap is becoming a major operational risk.
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Legacy Cloud Assumptions vs. Today’s Reality
| Requirement | Legacy Cloud Model | Automated Setup |
|---|---|---|
| Workload placement | Region-bound | Multi-region or sovereign |
| AI performance | Single-region inference | Distributed, low-latency GPU networks |
| Data sovereignty | Optional | Regulator-mandated |
| SaaS visibility | Limited | Critical to understand system-wide risk |
| Failover capability | Rarely tested | Must withstand real-world disruption |
What Should Enterprises Do Now?
- Map cloud, SaaS, and AI dependencies
- Stress‑test the data‑layer, not just infrastructure
- Design for multi‑region or sovereign scenarios
- Plan for GPU shortages and AI failure scenarios
What Hurdles Should They Expect?
- Technical debt that prevents workload mobility
- Limited visibility into how SaaS tools process and store data
- Shortage of cloud + AI resiliency engineering skills
- Difficulty moving AI workloads quickly because of GPU constraints
Taken together, they reveal the critical need for proactive resilience planning.
How SoftServe Helps
SoftServe supports resilience modernization in financial services and far beyond with:
- Dependency mapping across SaaS, data pipelines, and AI models
- FSI modernization frameworks aligned to DORA, NIST, and SAMA
- Multi‑cloud and sovereign cloud architectures
- Data sovereignty and portability programs
- Apply AI resilience engineering across your entire business ecosystem, not just to your sandboxed AI applications
Is your business prepared for today's volatile global geopolitical environment? It's time to stress-test your core business model.
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