<i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management
In the evolving landscape of cybersecurity, traditional information technology (IT) infrastructures often struggle to meet the demands of modern risk management frameworks, which require enhanced security, scalability, and analytical capabilities. This paper proposes a novel artificial intelligence...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Risks |
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| Online Access: | https://www.mdpi.com/2227-9091/12/12/206 |
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| author | Mir Mehedi Rahman Bishwo Prakash Pokharel Sayed Abu Sayeed Sujan Kumar Bhowmik Naresh Kshetri Nafiz Eashrak |
| author_facet | Mir Mehedi Rahman Bishwo Prakash Pokharel Sayed Abu Sayeed Sujan Kumar Bhowmik Naresh Kshetri Nafiz Eashrak |
| author_sort | Mir Mehedi Rahman |
| collection | DOAJ |
| description | In the evolving landscape of cybersecurity, traditional information technology (IT) infrastructures often struggle to meet the demands of modern risk management frameworks, which require enhanced security, scalability, and analytical capabilities. This paper proposes a novel artificial intelligence (AI)–driven IT infrastructure backed by blockchain technology, specifically designed to optimize risk management processes in diverse organizational environments. By leveraging artificial intelligence for predictive analytics, anomaly detection, and data-driven decision-making, combined with blockchain’s secure and immutable ledger for data integrity and transparency, the proposed infrastructure offers a robust solution to existing challenges in risk management. The infrastructure is adaptable and scalable to support a variety of risk management methodologies, providing a more secure, efficient, and intelligent system. The findings highlight significant improvements in the accuracy, speed, and reliability of risk management, underscoring the infrastructure’s capability to proactively address emerging cyber threats. To ensure the proposed model effectively addresses the most critical issues, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique will be used to analyze and evaluate the interrelationships among the existing critical factors. This approach evaluates the interrelationships and impacts of these factors, verifying the model’s comprehensiveness in managing organizational risk. This study lays the foundation for future research aimed at refining AI-driven infrastructures and exploring their broader applications in enhancing organizational cybersecurity. |
| format | Article |
| id | doaj-art-c79aa8e70c024dcdbdc16d67a43ffeca |
| institution | DOAJ |
| issn | 2227-9091 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Risks |
| spelling | doaj-art-c79aa8e70c024dcdbdc16d67a43ffeca2025-08-20T02:43:45ZengMDPI AGRisks2227-90912024-12-01121220610.3390/risks12120206<i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk ManagementMir Mehedi Rahman0Bishwo Prakash Pokharel1Sayed Abu Sayeed2Sujan Kumar Bhowmik3Naresh Kshetri4Nafiz Eashrak5School of Business & Technology, Emporia State University, Emporia, KS 66801, USASault College of Applied Arts and Technology, Marie, ON P6B 4J3, CanadaCollege of Business, Florida Atlantic University, Boca Raton, FL 33431, USADepartment of Statistics & Data Science, Jahangirnagar University, Savar 1342, BangladeshDepartment of Cybersecurity, Rochester Institute of Technology, Rochester, NY 14623, USADepartment of Business & Technology Management, Islamic University of Technology, Gazipur 1704, BangladeshIn the evolving landscape of cybersecurity, traditional information technology (IT) infrastructures often struggle to meet the demands of modern risk management frameworks, which require enhanced security, scalability, and analytical capabilities. This paper proposes a novel artificial intelligence (AI)–driven IT infrastructure backed by blockchain technology, specifically designed to optimize risk management processes in diverse organizational environments. By leveraging artificial intelligence for predictive analytics, anomaly detection, and data-driven decision-making, combined with blockchain’s secure and immutable ledger for data integrity and transparency, the proposed infrastructure offers a robust solution to existing challenges in risk management. The infrastructure is adaptable and scalable to support a variety of risk management methodologies, providing a more secure, efficient, and intelligent system. The findings highlight significant improvements in the accuracy, speed, and reliability of risk management, underscoring the infrastructure’s capability to proactively address emerging cyber threats. To ensure the proposed model effectively addresses the most critical issues, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique will be used to analyze and evaluate the interrelationships among the existing critical factors. This approach evaluates the interrelationships and impacts of these factors, verifying the model’s comprehensiveness in managing organizational risk. This study lays the foundation for future research aimed at refining AI-driven infrastructures and exploring their broader applications in enhancing organizational cybersecurity.https://www.mdpi.com/2227-9091/12/12/206AI-driven infrastructureAI in cybersecurityDEMATELblockchain technologyorganizational risk managementregression analysis |
| spellingShingle | Mir Mehedi Rahman Bishwo Prakash Pokharel Sayed Abu Sayeed Sujan Kumar Bhowmik Naresh Kshetri Nafiz Eashrak <i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management Risks AI-driven infrastructure AI in cybersecurity DEMATEL blockchain technology organizational risk management regression analysis |
| title | <i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management |
| title_full | <i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management |
| title_fullStr | <i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management |
| title_full_unstemmed | <i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management |
| title_short | <i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management |
| title_sort | i riskaichain i ai driven it infrastructure blockchain backed approach for enhanced risk management |
| topic | AI-driven infrastructure AI in cybersecurity DEMATEL blockchain technology organizational risk management regression analysis |
| url | https://www.mdpi.com/2227-9091/12/12/206 |
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