Automation of Compliance Control Processes According to PCI DSS Standards in Hybrid Cloud Environments
Abstract
The article addresses the problem of transforming compliance control with the PCI DSS 4.0.1 standard in hybrid cloud environments from an episodic audit practice into a continuous risk management function. It is shown that increasing infrastructure complexity, the deferred mandatory status of certain measures, and the accelerating pace of change render manual compliance operationally untenable. Meanwhile, the distribution of control points across hybrid/multi-cloud leads to the blurring of assessment scope, accountability boundaries, and control verifiability, which determines the high relevance of the study. The purpose of this work is to formalize a framework for automating PCI DSS compliance processes in a hybrid architecture, combining normative analysis with an engineering representation of controls. Scientific novelty consists in interpreting scoping and segmentation as a verifiable hypothesis. In projecting the principles of automated continuous compliance (policy-as-code, shifting left of checks, and formalization of the evidence base as a managed artifact) onto the specifics of PCI DSS, and in proposing a reference architecture and a phased automation roadmap that integrates management planes, telemetry, response processes, and an immutable evidence perimeter. The main conclusions indicate that PCI DSS compliance in a hybrid cloud can be maintained as a system property, dependent on continuous dependency inventory, a disciplined segmentation approach, standardized identity governance, a formalized shared-responsibility model, and machine-executable policies embedded into the change lifecycle. The article will be useful to hybrid infrastructure architects, information security specialists, payment service owners, and auditors involved in assessing and building PCI DSS-compatible solutions.
Keywords
References
Most read articles by the same author(s)
- Dr. Mariam Al-Falasi, Dr. Tao Zhang, AUGMENTING SIEM WITH THREAT INTELLIGENCE FOR PREDICTIVE CYBER DEFENSE: A PROACTIVE THREAT HUNTING APPROACH , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 2 No. 03 (2025): Volume 02 Issue 03
- Haruto Nakamura, Yui Takahashi, Adaptive Authentication Framework for Agentic AI Ecosystems: Protocol Design, Trust Evaluation, and Security Analysis , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Nguyen Minh Khoa, Tran Thi Lan Anh, Strategic Business Transformation through Data Analytics, Sustainable Practices, and Innovation Management , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Tanvi Das, James D. Walker, A FEDERATED MULTI-MODAL SYSTEM FOR INSIDER THREAT DETECTION IN ENERGY INFRASTRUCTURE USING BIOMETRIC AND CYBER DATA , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 2 No. 01 (2025): Volume 02 Issue 01
- Prof. Emily Zhang, Luca Romano, DEFENDING AGAINST EVOLVING CYBER THREATS: A HYBRID FRAMEWORK FOR ATTACK PATTERN ANALYSIS AND INTELLIGENCE INTEGRATION , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Chinedu Okafor, Amina Yusuf Bello, A Strategic HR Framework for Reducing Employee Attrition and Enhancing Talent Acquisition in the Indian Banking Sector , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Julia H. Whitaker, PROACTIVE CYBER THREAT HUNTING AND PREDICTIVE INTELLIGENCE IN CLOUD-ENABLED CRITICAL INFRASTRUCTURE: AN INTEGRATED FRAMEWORK FOR RESILIENT DIGITAL ECOSYSTEMS , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Amara Ndlovu, Dr. Faisal Khan, CYBERSECURITY IN VIRTUAL GATHERINGS: RISKS AND REMEDIAL STRATEGIES FOR VIDEO CONFERENCING SOFTWARE , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Ms. Shivani Jain, A Survey on Deep Learning Approaches for Malware Detection and Classification , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Alistair C. Finch, From Reactive to Predictive: A Framework for Integrating Threat Intelligence with SIEM for Proactive Threat Hunting , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 2 No. 10 (2025): Volume 02 Issue 10
Similar Articles
- John M. Callahan, Advancing Cyber Threat Intelligence Frameworks: Integrative Models, Sharing Mechanisms, and Predictive Analytics , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 2 No. 07 (2025): Volume 02 Issue 07
- Dr. Mateo Alvarez-Ruiz, From Reactive to Predictive Security: Integrating Threat Intelligence with SIEM for Proactive Threat Hunting , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Ahmed Saeed Al-Mansoori, Detection of Malicious Query Attack Weaknesses within Online Software Systems Using Byte-Level Pattern Matching , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Prof. M. B. T. Hazarika, An Examination of Cybersecurity Practices and Resilience in the Global Mining Critical Infrastructure Sector , International Journal of Cyber Threat Intelligence and Secure Networking: Vol. 3 No. 06 (2026): Volume 03 Issue 06
You may also start an advanced similarity search for this article.