Configuration and compliance automation in modern networks: A framework for enhanced security and operational efficiency

Configuration and compliance automation represents a transformative approach to modern network management, addressing the escalating complexity of enterprise network environments. As organizations expand their digital footprint through cloud integration, IoT adoption, and hybrid work models, the traditional manual approach to network configuration has become increasingly unsustainable. The heterogeneous nature of contemporary networks, typically encompassing multiple vendors, platforms, and technologies, creates significant challenges for maintaining configuration consistency, ensuring regulatory compliance, and safeguarding security postures. This article explores the fundamental components of effective configuration and compliance automation frameworks, including centralized policy repositories, configuration management tools, continuous monitoring systems, and automated remediation workflows. It presents implementation strategies based on organizational maturity and network complexity, outlining critical success factors and addressing common challenges such as legacy device integration and change management resistance. The substantial benefits of automation across operational efficiency, security enhancement, compliance management, and financial performance demonstrate why configuration and compliance automation has become essential for organizations seeking to maintain competitive advantage in an increasingly digital business landscape. As automation technologies continue to evolve, incorporating artificial intelligence and machine learning capabilities, the potential for self-healing, adaptive networks points toward a future where network operations can focus on innovation rather than maintenance.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-29
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0613
Citations
1
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Configuration and compliance automation in modern networks: A framework for enhanced security and operational efficiency

Suresh Reddy Thati
1 citations
World Journal of Advanced Engineering Technology and Sciences
Mobile Agent-Based Network Management
1.49
article

Configuration and compliance automation in modern networks: A framework for enhanced security and operational efficiency

Suresh Reddy Thati
article en
1 citations

Abstract

Configuration and compliance automation represents a transformative approach to modern network management, addressing the escalating complexity of enterprise network environments. As organizations expand their digital footprint through cloud integration, IoT adoption, and hybrid work models, the traditional manual approach to network configuration has become increasingly unsustainable. The heterogeneous nature of contemporary networks, typically encompassing multiple vendors, platforms, and technologies, creates significant challenges for maintaining configuration consistency, ensuring regulatory compliance, and safeguarding security postures. This article explores the fundamental components of effective configuration and compliance automation frameworks, including centralized policy repositories, configuration management tools, continuous monitoring systems, and automated remediation workflows. It presents implementation strategies based on organizational maturity and network complexity, outlining critical success factors and addressing common challenges such as legacy device integration and change management resistance. The substantial benefits of automation across operational efficiency, security enhancement, compliance management, and financial performance demonstrate why configuration and compliance automation has become essential for organizations seeking to maintain competitive advantage in an increasingly digital business landscape. As automation technologies continue to evolve, incorporating artificial intelligence and machine learning capabilities, the potential for self-healing, adaptive networks points toward a future where network operations can focus on innovation rather than maintenance.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 17%
Mobile Agent-Based Network Management
1.49
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