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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53173
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper addresses how the integration of Artificial General Intelligence (AGI) and Artificial Immune Systems (AIS) may enhance the Security Operations Centers (SOCs) performance. We use a hypothetical case study, mathematical models, and calculate the number of true positives, false positives, detection accuracy between AGI-driven AIS and traditional AI based AIS to compare both working methods in relation to major parameters. Overall results indicate that AIS driven by AGIs has the potential to increase the threat detection, optimize the operational efficiency, and minimize investments. This evidence indicates that the implementation of AGI into SOCs may revolutionize cybersecurity by offering resource-optimization, rationalization of processes, and enhanced resistance to the evermore advanced types of threats. The current study shows the significance of AGI to governments, manufacturers, cybersecurity experts, and investors who are in need of more efficient security systems.
KEYWORDS
Publication Date
10/24/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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