The Tool Desk
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How does cloud computing work for a financial institution?
Instead of owning and operating every layer of computing infrastructure itself, an institution uses resources and services operated by a cloud provider. Those can include basic infrastructure such as virtual machines, storage, and networks, as well as higher-level managed services. The institution assembles these capabilities into an environment for a particular application or business service.
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Cloud is therefore not a finished, automatically compliant system delivered to the institution. It is a shared operating model. The provider runs the services it offers, while the institution selects services and configures them for its workloads, data, users, and risk requirements. The boundary shifts with the service: using a managed service does not mean the provider has taken over every security or operational task associated with the institution’s application.
Who is responsible for cloud security and compliance?
Responsibility is divided between the provider and the customer, and the precise division depends on the chosen service and how it is integrated. AWS describes its role as protecting the cloud infrastructure and the customer’s role as managing responsibilities in the cloud. Microsoft likewise says customers configure security and compliance to meet their needs and risk tolerance.
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For a financial workload, teams should map responsibilities at the service and workload level rather than relying on a general statement that the provider is secure. A provider’s controls and compliance materials can help with due diligence and evidence gathering, but they do not establish that the institution’s application, access settings, data handling, procedures, or overall use of the service meets its requirements.
What does a practical cloud adoption lifecycle look like?
The following sequence is a useful planning approach synthesized from AWS risk guidance and Microsoft governance and resilience guidance. It is not a regulator-prescribed checklist.
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- Classify the workload and its data. Define the business purpose, data categories, sensitivity, and the consequences of disruption or unauthorized access.
- Choose the service and deployment pattern. Decide which cloud capabilities the workload needs and which provider-operated or institution-operated components will support it.
- Establish the control foundation. Set identity and access rules, network boundaries, configuration policies, and the process for approving changes before deploying the workload.
- Build and deploy the application. Configure the selected services and application controls to fit the workload’s requirements; do not assume the provider’s baseline automatically supplies the institution’s required settings.
- Monitor and operate. Track access, configuration, and operational events, assign ownership for responding to issues, and retain evidence appropriate to the workload.
- Test recovery and reassess. Exercise recovery arrangements, review dependencies and risks, and revisit the design when the service, business use, or relevant requirements change.
How do AWS and Azure differ for financial workloads?
The available provider guidance supports a comparison of design and governance approaches, not a universal performance, security, or cost winner. The right fit depends on the workload and the institution’s existing environment.
| Decision area | AWS guidance described | Azure guidance described |
|---|---|---|
| Architecture for financial workloads | The AWS Financial Services Industry Lens extends Well-Architected practices to financial workloads and institution-defined risk and control objectives. | Microsoft’s financial-services guidance uses landing zones and Azure Policy to support consistent environment governance. |
| Responsibility mapping | AWS advises mapping responsibilities according to the service selected. | Microsoft describes customer configuration of security and compliance to meet the customer’s needs and risk tolerance. |
| Governance and service enablement | The cited AWS material focuses on the Financial Services Industry Lens and workload risk guidance; a comparable landing-zone model is not stated in that material. | Platform and application landing zones separate shared identity and connectivity services from workload hosting. Microsoft’s regulated-institution enablement guidance describes isolation, explicit baselines, and policy-driven governance as patterns to adapt, not as a compliance checklist. |
| Resilience and concentration | AWS risk guidance calls for ongoing risk prioritization and an enterprise cloud risk plan. | Microsoft resilience guidance emphasizes critical services, dependencies, concentration, continuity, and exit planning. |
| Comparable prices or neutral cost ranking | Not stated in the cited AWS guidance. | Not stated in the cited Microsoft guidance. |
These documents are design aids, not proof that a particular implementation is secure or compliant. Compare providers against the institution’s actual workload needs, control allocation, operational capacity, resilience requirements, and cost model instead of assuming that a framework name or provider label settles the decision.
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Can U.S. financial institutions use cloud services?
AWS’s U.S. Financial Services Compliance Center states: “Yes. Financial institutions in the U.S. are permitted to use cloud services, provided that they comply with applicable legal and regulatory requirements, such as those described below.” This is AWS’s vendor guidance, not a statement from a U.S. regulator and not legal advice.
Whether a specific cloud use is appropriate depends on the institution, its activities, jurisdiction, workload, and data. The institution needs to identify the requirements that apply to that use and evaluate its own controls; a provider overview cannot determine that for every organization or workload. Provider attestations may inform that assessment, but they do not transfer the institution’s accountability.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should teams assess for critical financial services?
For a workload supporting an important business service, cloud review should cover more than the application’s configuration. The institution should understand what service depends on the workload, which internal teams and third parties it relies on, and what disruptions could affect delivery. AWS risk guidance and Microsoft resilience guidance both support assessing risk and dependencies over time.
- Criticality: Identify the business service supported and the impact of losing the workload or a dependency.
- Recovery: Define the recovery capability and evidence needed, then test whether arrangements work for the scenarios that matter.
- Concentration: Examine dependencies that could create concentration risk. The cited provider guidance does not establish that adopting multiple clouds is automatically safer or required.
- Continuity and exit: Plan how the institution would maintain or exit the service if the provider or a critical dependency became unavailable.
- Ownership and evidence: Assign responsibility for each relevant control and determine how the institution will verify that controls continue to operate as intended.
The AWS Financial Services Industry Lens page identifies document revisions dated January 27, 2026. Other cited live documentation does not provide a publication date in the available material, so teams should confirm current service scope and provider documentation during their own due diligence.
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