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☁️ '''Hybrid cloud''' is an IT infrastructure architecture that combines on-premises data centers or private cloud environments with public cloud services — and within the insurance industry, it has become the predominant deployment model for organizations that need the scalability and innovation velocity of public cloud platforms while retaining direct control over sensitive data and legacy systems that are deeply embedded in day-to-day operations. Insurers, [[Definition:Reinsurance | reinsurers]], and large [[Definition:Insurance broker | brokers]] typically run complex estates of [[Definition:Policy administration system | policy administration systems]], [[Definition:Claims management system | claims platforms]], [[Definition:Actuarial science | actuarial models]], and [[Definition:Regulatory reporting | regulatory reporting]] tools — many of which were built decades ago on mainframe or client-server architectures — and a hybrid approach allows them to modernize incrementally rather than attempting a wholesale migration.

🔗 In practice, a hybrid cloud strategy enables an insurer to keep workloads with strict [[Definition:Data residency | data residency]] requirements or latency-sensitive processing on private infrastructure while bursting compute-intensive tasks — such as [[Definition:Catastrophe model | catastrophe modeling]] runs, [[Definition:Machine learning | machine learning]] training, or [[Definition:Predictive analytics | predictive analytics]] — into public cloud environments from providers like Amazon Web Services, Microsoft Azure, or Google Cloud. Middleware, APIs, and container orchestration platforms (such as Kubernetes) provide the connectivity and workload portability between environments. This architecture is particularly valuable for insurers operating across multiple regulatory jurisdictions: a European carrier subject to [[Definition:Solvency II | Solvency II]] and GDPR may keep policyholder data in a private cloud within the EU while leveraging public cloud services in another region for non-regulated analytical workloads. Similarly, insurers in markets like China and Japan face domestic [[Definition:Data localization | data localization]] rules that effectively mandate keeping certain data on local infrastructure, making a pure public cloud model impractical.

🛡️ Adopting a hybrid cloud model carries strategic significance for insurers pursuing [[Definition:Digital transformation | digital transformation]] without accepting undue operational or [[Definition:Regulatory compliance | regulatory]] risk. It provides a migration pathway for legacy systems — many [[Definition:Core system | core systems]] cannot be refactored overnight, and hybrid architectures allow insurers to wrap legacy applications with modern interfaces and gradually shift functionality. From a resilience standpoint, hybrid cloud supports robust [[Definition:Business continuity planning (BCP) | business continuity]] by distributing workloads across environments, reducing single points of failure. The trade-off is complexity: managing security, [[Definition:IT governance | governance]], and cost optimization across heterogeneous environments demands mature [[Definition:IT service management (ITSM) | IT service management]] capabilities and skilled teams. Insurers that invest in this capability position themselves to adopt new technologies — [[Definition:Generative artificial intelligence (GenAI) | generative AI]], advanced analytics, [[Definition:Internet of things (IoT) | IoT]] data ingestion — with agility while maintaining the operational stability that regulators and policyholders expect.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Cloud computing]]
* [[Definition:Infrastructure as a service (IaaS)]]
* [[Definition:Digital transformation]]
* [[Definition:Data residency]]
* [[Definition:IT governance]]
* [[Definition:Core system modernization]]
{{Div col end}}

Definition:Hybrid cloud - Revision history

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