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Cloud identity verification

What Is Cloud Identity Verification?

Cloud identity verification is a deployment model in which document and biometric checks run in a cloud environment rather than on an organization’s own servers. The cloud environment is typically managed by the vendor.

An alternative is a private cloud model, in which the solution runs in a dedicated cloud environment for a single customer, often within the customer’s or vendor’s cloud account. Management responsibilities may lie with the customer, the vendor, or both.

How Does Cloud Identity Verification Work?

In a typical flow, a mobile or web client captures a document image or selfie, or reads data from an NFC-enabled document. The client sends the captured data to a cloud API over an encrypted connection. The service processes the data and may return structured results such as:

Document authenticity results
OCR and MRZ data
Chip data and verification results, where available
Face-match scores
Liveness results

The organization’s application then uses these results in digital onboarding, screening, or transaction approval. The verification session also requires a reliable network connection between the client and the cloud processing service.

What Are the Pros and Cons of Cloud Identity Verification?

Cloud identity verification can reduce the infrastructure and operational work handled by the customer, but it also increases reliance on the service provider.

Advantages:

Faster deployment. Businesses do not need to install and maintain the full identity verification system within their own infrastructure, which can shorten implementation time.
Vendor-managed maintenance. The provider manages the processing environment, software updates, and many operational issues.
Faster response to new threats. Cloud providers can update fraud-detection models, document templates, and security controls across the service when new attack methods appear.

Disadvantages:

Third-party risk. The provider processes sensitive identity and biometric data, so the customer depends on its security controls, privacy practices, and incident-response procedures.
Less control over data. Customers may have less control over system configuration, maintenance schedules, software updates, and data handling than with an on-premises deployment.
Regulatory and data-residency concerns. Some organizations may be restricted in where personal data is processed or stored and which third parties can access it.
Dependence on connectivity and service availability. Verification may be interrupted by network problems or outages affecting the provider.

Why Choose Private Cloud Identity Verification?

Private cloud offers a middle ground for organizations that need more control than a shared cloud service provides but do not want to run the entire identity verification system within their own infrastructure. It is particularly suitable for businesses that already use cloud infrastructure but require closer control over data location, network configuration, access policies, and security integrations.

Unlike an on-premises deployment, a private cloud environment may still involve vendor-managed maintenance, support access, or software updates. The exact division of responsibilities depends on how the deployment is configured.

How Can Regula Help with Cloud Identity Verification?

Regula can provide identity verification in a private cloud environment or as a fully customer-managed on-premises deployment. Organizations can therefore choose the model that best matches their data-control, security, and infrastructure requirements.

Which Is Better for Identity Verification: Cloud or On-Premises?

The right choice depends on the organization’s regulatory obligations, security requirements, technical resources, and need for infrastructure control. Cloud deployment usually offers faster implementation, easier scaling, and vendor-managed maintenance, while on-premises deployment provides greater control over data, system configuration, and operations. Organizations with mature technical teams and strict data-governance requirements may prefer on-premises deployment. Businesses that prioritize speed and lower infrastructure demands may find cloud identity verification more suitable.

What data risks are specific to cloud identity verification?

Cloud identity verification requires sensitive document and biometric data to be transmitted to and processed within a third-party environment. This creates risks related to unauthorized vendor access, data breaches, improper retention, and failure to delete or export data when required. Cross-border processing may also conflict with data-residency or privacy requirements. Organizations should therefore review the provider’s security controls, access policies, data locations, retention practices, and incident-response procedures.

Can identity verification run in the customer’s own cloud account?

Yes. Some identity verification vendors support private-cloud deployment within a customer’s AWS, Microsoft Azure, or Google Cloud account. This model gives the customer greater control over data location, network configuration, and access policies. Regula is one provider that can support identity verification in a customer-controlled cloud environment, with specific deployment and management responsibilities defined during implementation.

Can a company move from cloud identity verification to on-premises later?

Yes, but the migration may be complex. It depends on whether the provider offers an equivalent on-premises solution, supports compatible APIs and workflows, and allows the customer to export relevant data and verification records. Before choosing a cloud service, organizations should review data-portability options, contractual exit terms, migration support, and the technical costs of changing the deployment model.

Can cloud identity verification meet data-residency requirements?

Yes, provided the vendor offers processing and storage in an approved region. Organizations should confirm where identity and biometric data is processed, stored, backed up, and accessed by support teams. The deployment must also align with applicable privacy laws, retention policies, and contractual requirements. A private cloud may provide additional control when standard shared-cloud options do not meet these needs.