Securing Oil & Gas Digital Supply Chains: A Vendor Risk Management Framework for IoT and Cyber-Physical Systems

The oil and gas industry’s accelerated digital transformation—driven by cloud computing, IoT, and edge technologies—has significantly expanded the attack surface, with third-party vendors emerging as critical points of vulnerability. Existing frameworks, such as NIST CSF and ISO/IEC 27036, while comprehensive, fall short of addressing the sector’s unique cyber-physical infrastructure and real-time operational demands. This study addresses that gap by proposing the Vendor Cyber Risk Management Framework (VCRMF), a domain-specific model that integrates dynamic vendor tiering, continuous threat monitoring, and sector-aligned controls. Developed through an iterative process combining literature synthesis, threat landscape analysis, expert interviews (n=18), and a validated midstream case study, the VCRMF demonstrated a 72% improvement in vendor risk visibility and reduced incident response times from 14 days to 36 hours. Practitioners across cybersecurity, OT, and procurement domains rated the framework highly (average rating: 4.7/5), citing its adaptability across upstream and downstream operations and alignment with evolving standards like IEC 62443 and DORA. The VCRMF offers a practical, validated approach to mitigating vendor-related cyber risks in the digital supply chain, contributing both operational value and regulatory readiness.

Authors

Publication Details

Journal
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Published
2025-05-01
DOI
https://doi.org/10.60087/jaigs.v8i1.389
Primary Topic
Transportation Systems and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Securing Oil & Gas Digital Supply Chains: A Vendor Risk Management Framework for IoT and Cyber-Physical Systems

Samuel Grant Quansah
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Transportation Systems and Infrastructure
article

Securing Oil & Gas Digital Supply Chains: A Vendor Risk Management Framework for IoT and Cyber-Physical Systems

Samuel Grant Quansah
article en

Abstract

The oil and gas industry’s accelerated digital transformation—driven by cloud computing, IoT, and edge technologies—has significantly expanded the attack surface, with third-party vendors emerging as critical points of vulnerability. Existing frameworks, such as NIST CSF and ISO/IEC 27036, while comprehensive, fall short of addressing the sector’s unique cyber-physical infrastructure and real-time operational demands. This study addresses that gap by proposing the Vendor Cyber Risk Management Framework (VCRMF), a domain-specific model that integrates dynamic vendor tiering, continuous threat monitoring, and sector-aligned controls. Developed through an iterative process combining literature synthesis, threat landscape analysis, expert interviews (n=18), and a validated midstream case study, the VCRMF demonstrated a 72% improvement in vendor risk visibility and reduced incident response times from 14 days to 36 hours. Practitioners across cybersecurity, OT, and procurement domains rated the framework highly (average rating: 4.7/5), citing its adaptability across upstream and downstream operations and alignment with evolving standards like IEC 62443 and DORA. The VCRMF offers a practical, validated approach to mitigating vendor-related cyber risks in the digital supply chain, contributing both operational value and regulatory readiness.

Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023Vol. 8(1)
Openalex Percentile: Top 75%
Transportation Systems and Infrastructure
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Securing Oil & Gas Digital Supply Chains: A Vendor Risk Management Framework for IoT and Cyber-Physical Systems — Samuel Grant Quansah · Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023 (2025) | TGRS Research Map | TGRS