Human-AI Integration Cybersecurity Industry-Aligned Perspective is a B.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Human-AI Integration Cybersecurity Industry-Aligned Perspective Project Details
| Abstract |
The integration of Artificial Intelligence (AI) within cybersecurity incident management is increasingly critical due to evolving threats and operational complexities. While academic studies frequently focus on AI detection capabilities and algorithmic efficiency, the industry's practical application and priorities in this domain are less understood. This research conducts a document analysis of publicly available industry reports to investigate the real-world deployment, understanding, and evaluation of AI in cybersecurity operations. By adapting the Technology-Human-Task-Context (THTC) framework to the cybersecurity context, the study identifies crucial factors influencing AI integration, such as task alignment, human supervision, operational limitations, and anticipated advantages. The findings reveal significant deficiencies in current AI implementations, particularly regarding recovery processes,
governance structures, and task allocation. It also underscores the dual function of human experts as both overseers and beneficiaries of AI systems. To bridge these identified gaps and facilitate practical system design, the paper proposes a series of industry-aligned recommendations. These recommendations, synthesized from the THTC framework and the document analysis, cover aspects including AI functionalities, integration prerequisites, task synchronization, desired outcomes, risk management strategies, and control mechanisms.
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| Reference Paper |
Human-AI Integration in Cybersecurity: An Industry-Aligned Perspective on Incident Management |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Cyber Security with AI |
| PDF Download |
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