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.
Authors
- Hamid Jabbar (ORCID: https://orcid.org/0000-0002-5866-2782)
- Samir Al-Janabi (ORCID: https://orcid.org/0000-0002-2906-8469)
- Francis Syms (ORCID: https://orcid.org/0009-0000-3467-7923)
Institutions
- Humber Polytechnic (CA)
- McMaster University (CA)
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