Cybersecurity Risk Management Framework for Digital Enterprises

The risk environment of digital businesses poses a challenge where traditional, siloed approaches to cybersecurity fail to provide enough protection from agile attackers and growing regulatory requirements. The paper offers a systematic Cybersecurity Risk Management Framework (CSRMF) designed to combine cybersecurity risk strategies at the governance level with threat assessments for digital-native companies. The CSRMF draws on the Govern function of NIST CSF 2.0, principles of ERM alignment provided by NIST IR 8286 and quantitative scenarios based on the stochastic attack graph modeling technique. Three-layer architecture is proposed: Governance and Strategy Layer defining risk appetite; Assessment and Prioritization Layer with modified Dijkstra-based stochastic risk propagation algorithm; and Response and Monitoring Layer providing treatment options and feedback. Pseudocode for the core risk propagation algorithm is provided, along with the comparison of the proposed approach to ISO/IEC 27001:2022 and basic CSF 2.0 implementation. Analysis shows that the proposed framework allows minimizing structural differences between cybersecurity risk registers and enterprise risk portfolios, ensuring consistency in risk treatment prioritization and providing a repeatable way to integrate emerging risks into strategic decision making.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24136675
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity Risk Management Framework for Digital Enterprises

Dr. E. Enanalap Periyar, Mohankumar S D
Zenodo (CERN European Organization for Nuclear Research)
Information and Cyber Security
article

Cybersecurity Risk Management Framework for Digital Enterprises

Dr. E. Enanalap Periyar, Mohankumar S D
article en

Abstract

The risk environment of digital businesses poses a challenge where traditional, siloed approaches to cybersecurity fail to provide enough protection from agile attackers and growing regulatory requirements. The paper offers a systematic Cybersecurity Risk Management Framework (CSRMF) designed to combine cybersecurity risk strategies at the governance level with threat assessments for digital-native companies. The CSRMF draws on the Govern function of NIST CSF 2.0, principles of ERM alignment provided by NIST IR 8286 and quantitative scenarios based on the stochastic attack graph modeling technique. Three-layer architecture is proposed: Governance and Strategy Layer defining risk appetite; Assessment and Prioritization Layer with modified Dijkstra-based stochastic risk propagation algorithm; and Response and Monitoring Layer providing treatment options and feedback. Pseudocode for the core risk propagation algorithm is provided, along with the comparison of the proposed approach to ISO/IEC 27001:2022 and basic CSF 2.0 implementation. Analysis shows that the proposed framework allows minimizing structural differences between cybersecurity risk registers and enterprise risk portfolios, ensuring consistency in risk treatment prioritization and providing a repeatable way to integrate emerging risks into strategic decision making.

Zenodo (CERN European Organization for Nuclear Research)
Information and Cyber Security
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