The Impact of Artificial Intelligence on Threat Detection and Response in Cybersecurity

Authors

  • Ranjan Banerjee, Most Mahabuba Islam, Rakesh Mitra, Debmalya Mukherjee, Shuvrajit Nath, Mithun Biswas Author

DOI:

https://doi.org/10.48047/e3b7qf51

Keywords:

Artificial Intelligence, Cybersecurity, Threat Detection, Ethical AI, Algorithmic Bias, Workforce Development, Proactive Security, Data Integrity, Cyber Threats, Mixed-Methods Analysis

Abstract

This study explores the integration of artificial intelligence (AI) within cybersecurity frameworks, examining its potential to enhance threat detection, response capabilities, and overall resilience against sophisticated Cyber threats. Through a mixed-methods approach combining quantitative and qualitative data, this study investigates the operational benefits of AI in automating threat analysis, reducing response times, and enabling proactive security measures. 

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References

Böhme, R., & Moore, T. (2012). Exploring the economics of cybersecurity through incentives, insights, and metrics. Journal of Economic Surveys, 26(3), 554-580. https://doi.org/10.1111/j.1467-6419.2010.00665.x 2. Burrell, J. (2016). Understanding the opacity of machine learning algorithms: A look

at how machines 'think'. Big Data & Society, 3(1), 1-12. https://doi.org/10.1177/2053951715622512

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Published

2025-02-03

Issue

Vol. 54 No. 3 (2025): Year 2025, Volume 54, Issue 3

Section

Articles

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How to Cite

The Impact of Artificial Intelligence on Threat Detection and Response in Cybersecurity (Ranjan Banerjee, Most Mahabuba Islam, Rakesh Mitra, Debmalya Mukherjee, Shuvrajit Nath, Mithun Biswas , Trans.). (2025). Cuestiones De Fisioterapia, 54(3), 2200-2210. https://doi.org/10.48047/e3b7qf51