Autonomous Hybrid Cloud Orchestration: Enabling Scalable, Policy-Driven Infrastructure for Regulated Financial Environments

The convergence of artificial intelligence and policy-driven automation presents a transformative opportunity for financial institutions operating in heavily regulated environments. As financial organizations accelerate hybrid cloud adoption, the complexity of managing disparate infrastructure while maintaining regulatory compliance creates significant operational challenges. This article presents a framework for autonomous hybrid cloud orchestration specifically designed for financial environments, addressing the unique regulatory constraints faced by banking and financial services. The framework integrates AI-driven orchestration with policy as code methodologies to enable self-healing, auto-scaling infrastructure that spans on-premises and public cloud deployments. Through detailed examination of regulatory requirements, security architectures, policy engines, and intelligent operations, the article demonstrates how financial institutions can achieve enhanced compliance posture while simultaneously improving operational efficiency. The proposed architecture enables financial organizations to respond dynamically to changing market conditions and customer expectations without compromising the rigorous security and compliance standards required in financial services.

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Publication Details

Journal
Technix International Journal for Engineering Research
Published
2025-01-01
DOI
https://doi.org/10.56975/tijer.v12i6.158397
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Autonomous Hybrid Cloud Orchestration: Enabling Scalable, Policy-Driven Infrastructure for Regulated Financial Environments

Satish Manchana
Technix International Journal for Engineering Research
Blockchain Technology Applications and Security
article

Autonomous Hybrid Cloud Orchestration: Enabling Scalable, Policy-Driven Infrastructure for Regulated Financial Environments

Satish Manchana
article en

Abstract

The convergence of artificial intelligence and policy-driven automation presents a transformative opportunity for financial institutions operating in heavily regulated environments. As financial organizations accelerate hybrid cloud adoption, the complexity of managing disparate infrastructure while maintaining regulatory compliance creates significant operational challenges. This article presents a framework for autonomous hybrid cloud orchestration specifically designed for financial environments, addressing the unique regulatory constraints faced by banking and financial services. The framework integrates AI-driven orchestration with policy as code methodologies to enable self-healing, auto-scaling infrastructure that spans on-premises and public cloud deployments. Through detailed examination of regulatory requirements, security architectures, policy engines, and intelligent operations, the article demonstrates how financial institutions can achieve enhanced compliance posture while simultaneously improving operational efficiency. The proposed architecture enables financial organizations to respond dynamically to changing market conditions and customer expectations without compromising the rigorous security and compliance standards required in financial services.

Technix International Journal for Engineering ResearchVol. 12(6)
Jawaharlal Nehru Technological University, Hyderabad (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Blockchain Technology Applications and Security
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