AI-Integrated Cyber Security Risk Management Framework for IT Projects

Amid the rising complexity and frequency of cyber threats, integrating emerging technologies such as artificial intelligence (AI) within IT project management frameworks is crucial for fostering cyber resilience. This paper proposes an AI-enhanced Cyber-Resilient IT Project Management Framework that integrates predictive analytics and machine learning across the cybersecurity process. The proposed framework emphasizes governance and risk management through proactive risk assessment, real-time threat detection, and automated incident response, enhancing resilience against evolving threats. The framework's adaptability and effectiveness are illustrated through its potential applications in diverse domains such as forensics, healthcare, and other sectors requiring robust data protection and cybersecurity strategies.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/ijcc64742.2024.10847294
Citations
8
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.23
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article

AI-Integrated Cyber Security Risk Management Framework for IT Projects

Hamid Jabbar, Samir Al-Janabi, Francis Syms
8 citations
Big Data and Business Intelligence
4.23
article

AI-Integrated Cyber Security Risk Management Framework for IT Projects

Hamid Jabbar, Samir Al-Janabi, Francis Syms
article en
8 citations

Abstract

Amid the rising complexity and frequency of cyber threats, integrating emerging technologies such as artificial intelligence (AI) within IT project management frameworks is crucial for fostering cyber resilience. This paper proposes an AI-enhanced Cyber-Resilient IT Project Management Framework that integrates predictive analytics and machine learning across the cybersecurity process. The proposed framework emphasizes governance and risk management through proactive risk assessment, real-time threat detection, and automated incident response, enhancing resilience against evolving threats. The framework's adaptability and effectiveness are illustrated through its potential applications in diverse domains such as forensics, healthcare, and other sectors requiring robust data protection and cybersecurity strategies.

Humber Polytechnic (CA), McMaster University (CA)
Openalex Percentile: Top 5%
Big Data and Business Intelligence
4.23
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