Next Generation BCM solution

Variety of cyber-attacks against critical infrastructure, and disinformation campaigns have been growing rapidly in recent years and is forecasted to continue on current growth path. The number of cyber incidents in industrial enterprises doubled from 2019 to 2020 and they have continued increasing in similar rate. At 2023, the global average cost of a single data breach was 4,45 million USD. Currently cyber threat detection solutions are monitoring critical systems and responds to odd incidents. Obviously, they are in reactive mode and are not dealing with core problem itself, just patching holes. In order to decrease number of attacks on critical infrastructures and societies, threat detection systems must evolve to prevent such incidents. Therefore, preventative threat management is needed to enhance capabilities of existing Business Continuity Management (BCM) solutions. The research question of the paper is to define requirements for next generation BCM solution. Future BCM systems must evolve beyond traditional disaster recovery to having a proactive, predictive, and threat data sharing capabilities. Next generation BCM solutions must utilize advanced technologies, ensure regulatory compliance, and provide organizations with the tools to anticipate and prevent threats. Automated and comprehensive threat data collection solution is basic foundation for any threat prevention and analysis system. Internet of Things (IoT) technologies are to be utilized for massive amount of real-time data collection. Artificial intelligence (AI) is excellent tool for both massive amount of threat data analysis and collection. Blockchain technology should be used for secure and transparent distribution of threat data to further improve detection and responding to new attack patterns, malware, or vulnerabilities before they can exploit critical systems to greater extend. This is critical since newly discovered weaknesses must be blocked quickly to prevent greater damage. Digital Twin solutions are excellent for simulating, further refining and optimizing organizations BCM strategies. Quantum computing can be seen as a significant risk for BCM solutions since modern cryptography relies on difficulty of solving certain mathematical problems, which are hard for classical computers but could be solved quickly by a quantum computer. Fortunately, quantum computing can also improve threat prevention solutions by detecting threats faster and enabling new enhanced cryptographic solutions resistant to both classical and quantum attacks.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006146
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Next Generation BCM solution

Arttu Takala, Riku Lehkonen, Markus Sihvonen
AHFE international
Advanced Manufacturing and Logistics Optimization
article

Next Generation BCM solution

Arttu Takala, Riku Lehkonen, Markus Sihvonen
article en

Abstract

Variety of cyber-attacks against critical infrastructure, and disinformation campaigns have been growing rapidly in recent years and is forecasted to continue on current growth path. The number of cyber incidents in industrial enterprises doubled from 2019 to 2020 and they have continued increasing in similar rate. At 2023, the global average cost of a single data breach was 4,45 million USD. Currently cyber threat detection solutions are monitoring critical systems and responds to odd incidents. Obviously, they are in reactive mode and are not dealing with core problem itself, just patching holes. In order to decrease number of attacks on critical infrastructures and societies, threat detection systems must evolve to prevent such incidents. Therefore, preventative threat management is needed to enhance capabilities of existing Business Continuity Management (BCM) solutions. The research question of the paper is to define requirements for next generation BCM solution. Future BCM systems must evolve beyond traditional disaster recovery to having a proactive, predictive, and threat data sharing capabilities. Next generation BCM solutions must utilize advanced technologies, ensure regulatory compliance, and provide organizations with the tools to anticipate and prevent threats. Automated and comprehensive threat data collection solution is basic foundation for any threat prevention and analysis system. Internet of Things (IoT) technologies are to be utilized for massive amount of real-time data collection. Artificial intelligence (AI) is excellent tool for both massive amount of threat data analysis and collection. Blockchain technology should be used for secure and transparent distribution of threat data to further improve detection and responding to new attack patterns, malware, or vulnerabilities before they can exploit critical systems to greater extend. This is critical since newly discovered weaknesses must be blocked quickly to prevent greater damage. Digital Twin solutions are excellent for simulating, further refining and optimizing organizations BCM strategies. Quantum computing can be seen as a significant risk for BCM solutions since modern cryptography relies on difficulty of solving certain mathematical problems, which are hard for classical computers but could be solved quickly by a quantum computer. Fortunately, quantum computing can also improve threat prevention solutions by detecting threats faster and enabling new enhanced cryptographic solutions resistant to both classical and quantum attacks.

AHFE internationalVol. 168
Openalex Percentile: Top 78%
Advanced Manufacturing and Logistics Optimization
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