Resilience is cheaper to design than to retrofit. That sentence sounds like consulting boilerplate until you have seen the invoice for the alternative — and in 2026, European regulators have started sending it.
The year the cloud stopped being someone else's problem
In October 2025, an outage at a major cloud provider took down services across the internet. Among the organizations affected were retail banks whose customers simply found that their banking did not work that morning. What made the episode significant was not the outage itself — outages happen — but the regulatory reading of it. Under European rules, an institution cannot describe its cloud provider's failure as an external event beyond its control. The obligation to maintain continuity sits with the institution.
That is a meaningful shift in accountability, and it happened quietly. For a decade, moving to the cloud was implicitly understood as transferring operational risk to a party better equipped to carry it. The regulation now says something different: you may delegate the operation, but you retain the responsibility.
Key takeaways
- DORA has applied since January 2025; 2026 is the enforcement phase.
- Nineteen providers — including AWS, Azure and Google Cloud — are now designated critical and directly supervised.
- Firms must document concentration risk and a credible, executable exit plan.
- In the regulators' dry run, only 6.5% of firms passed all data quality checks.
- Hidden concentration — several vendors on one cloud — is the exposure most often missed.
What DORA actually requires
The Digital Operational Resilience Act has applied to European financial entities since January 2025. Through 2026 the emphasis has shifted from guidance to supervision: regulators now expect to see resilience embedded in daily operations rather than described in policy documents. It reaches well beyond banks — payment providers, insurers, asset managers, trading venues and crypto-asset service providers are all in scope, and non-EU technology suppliers are captured through the clients they serve.
In November 2025, the European supervisory authorities published a first list of nineteen designated critical ICT third-party providers, including the three hyperscale cloud platforms alongside major data, software and telecommunications suppliers. Those providers are now subject to direct oversight. For everyone else, the practical consequence is an obligation to document dependency on them and to assess the concentration risk it creates.
You may delegate the operation. You do not delegate the responsibility.
Two provisions deserve particular attention. One requires entities to assess concentration risk and to be able to exit a provider without undue disruption. The other requires contracts covering critical functions to contain workable exit and transition provisions. Read together, they set a standard that many organizations will find uncomfortable: a right to exit that nobody could actually execute is precisely what supervisors probe.
Concentration risk is worse than it looks
Most organizations can describe their primary cloud provider. Fewer can describe their real exposure, because concentration hides in the second layer. A firm may run its own workloads across two providers and consider itself diversified — while a dozen of its critical SaaS vendors all sit on the same platform, often in the same region.
This is the exposure I find most often when reviewing a cloud estate, and it is rarely deliberate. It accumulates: a payroll tool here, a treasury platform there, an identity provider, a document signature service. Each procured separately, each perfectly reasonable in isolation, and collectively a single point of failure that appears on no architecture diagram.
| Layer | Question to answer | Typical finding |
|---|---|---|
| Infrastructure | Which provider and region hosts each critical workload? | Known and documented. |
| Software vendors | Which cloud does each critical SaaS vendor run on? | Rarely mapped; often identical. |
| Identity | What happens to authentication if that provider fails? | Single dependency, no fallback. |
| Data | Where are backups stored, and can they be restored elsewhere? | Backups on the same platform. |
| Contract | What does exit actually require, and how long would it take? | Clause exists; plan does not. |
Why retrofitting costs more
Designing resilience at the start is largely a matter of decisions: where state lives, how services degrade, what is stateless, how identity fails over, where backups are held. These decisions are cheap while they are still decisions. They become expensive once they are implementations with data in them.
The regulatory picture reinforces this. Deloitte research found that only around half of institutions expected to reach full compliance by the end of 2025, with a substantial share pushing their target into 2026. More striking still: in the supervisory authorities' dry-run exercise, only 6.5 percent of nearly a thousand firms passed all of the data quality checks on their register of information. The gap is not one of intent. It is that resilience documentation requires knowing things about your own estate that most organizations have never had to write down.
The three questions that reveal the truth
When I want a fast read on whether a cloud environment is genuinely resilient, I ask three things. How does this service behave when its database is unavailable — does it fail loudly, degrade gracefully, or corrupt quietly? When was a restore last performed from backup, end to end, into a working environment? And if we had to move this workload to another provider, who would do it, with what runbook, in what timeframe?
A backup you have never restored is a hypothesis, not a control.
Designing for the bad night
Well-architected foundations are not exotic. They are a small number of principles applied consistently, ideally before the first production workload.
- Decide what must survive. Rank services by business consequence, not by technical interest. Most estates have three or four things that genuinely cannot stop.
- Separate state from compute. Stateless services can be moved, replicated and restarted. State is where recovery time is won or lost.
- Design degradation deliberately. Define what a reduced-service mode looks like, so that partial failure produces a limited experience rather than an outage.
- Keep an escape route for data. Portable formats and at least one copy outside the primary platform. This is also what makes an exit plan credible.
- Map the second layer. Record which cloud each critical vendor depends on. Concentration you cannot see cannot be managed.
- Test recovery, on a schedule. A restore exercise every quarter, with the result written down. This single habit distinguishes organizations that recover from those that discover.
For organizations outside financial services
If DORA does not apply to you directly, it will probably reach you indirectly. Financial entities are now contractually obliged to push resilience requirements down to their suppliers, which means any technology company serving a European bank or insurer will meet these expectations through procurement rather than regulation.
There is also a plain commercial argument. The organizations I see winning enterprise contracts are increasingly those that can answer resilience questions quickly and with evidence. Being able to produce a dependency map, a tested recovery time and a documented exit path has become a sales asset, not merely a compliance artefact.
Where to start if you are behind
Nobody rebuilds an estate in a quarter. But the sequence that recovers ground fastest is fairly consistent.
- Inventory before architecture. You cannot design resilience for systems you have not listed. Start with the register, however imperfect.
- Rank by consequence. Identify the handful of services whose failure would be visible to clients or regulators within an hour.
- Run one honest restore test. Pick the most critical system and restore it end to end. Whatever you learn will reset your priorities.
- Write the exit plan you would actually use. Not the contractual clause — the operational sequence, with owners and duration.
- Fix identity first. Authentication tends to be the dependency that turns a partial outage into a total one.
- Report resilience to the board quarterly. Recovery time, test results, concentration exposure. Three numbers, consistently tracked, change behaviour.
Closing
Cloud adoption delivered speed, elasticity and reach, and very few organizations would reverse it. What it did not do is remove operational risk; it relocated it, and for a while the relocation was invisible. Regulation has now made it visible, which is uncomfortable in the short term and useful in the long term.
The work is not glamorous. Dependency maps, restore tests, exit runbooks and a quarterly number reported to the board. But it is the difference between an organization that has an incident and one that has a crisis — and that difference is usually decided months before the bad night arrives.
All figures cited are drawn from the following publicly available sources, consulted in May 2026.
- Regulation (EU) 2022/2554 (DORA) — compliance overview and 2026 enforcement phase
- ESAs designation of 19 Critical ICT Third-Party Providers (November 2025)
- DORA: cloud exit strategies and concentration risk (Articles 28 and 30)
- Gresham Technologies, DORA in 2026: why cloud resilience will define financial services compliance
- SureCloud, DORA compliance guide: requirements and deadlines 2026 (Deloitte readiness data)
- Nemko Digital, DORA compliance 2026: key requirements explained

