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Autonomous Agentic AI Architectures for Optimizing Security Operations Centers (SOC) KPIS: Methodology, Impact on Detection, Response, and Recovery Cover

Autonomous Agentic AI Architectures for Optimizing Security Operations Centers (SOC) KPIS: Methodology, Impact on Detection, Response, and Recovery

Land Forces Academy Review
Volume 30 (2025): Issue 3 (September 2025)
By: ,  ,  ,   and    
Open Access
|Sep 2025
Authors

Authors

Miroslav Stefanov

Miroslav.Stefanov@erau.edu

Embry-Riddle Aeronautical University, Daytona Beach, USA

Kristyan Stefanov

Stefank2@my.erau.edu

Embry-Riddle Aeronautical University, Daytona Beach, USA

Laxima Niure Kandel

NIUREKAL@erau.edu

Embry-Riddle Aeronautical University, Daytona Beach, USA

Sean Crouse

Crouses2@Erau.edu

Embry-Riddle Aeronautical University, Daytona Beach, USA

Boyan Jekov

B.Jekov@unibit.bg

University of Library Science and Information Technology, Sofia, Bulgaria
DOI: https://doi.org/10.2478/raft-2025-0046 | Journal eISSN: 3100-5071 | Journal ISSN: 3100-5063
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Language: English
Page range: 479 - 493
Published on: Sep 18, 2025
Published by: Nicolae Balcescu Land Forces Academy
In partnership with: Paradigm Publishing Services
Keywords:
Agentic AI,
SOC optimization,
KPI automation,
machine learning,
cybersecurity
Related subjects:
Social sciences,
Political science,
Political science, other,
Business and economics,
Business management,
Business management, other,
Social sciences,
Education,
Education, other,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering

© 2025 Miroslav Stefanov, Kristyan Stefanov, Laxima Niure Kandel, Sean Crouse, Boyan Jekov, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 30 (2025): Issue 3 (September 2025)
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