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: Miroslav Stefanov, Kristyan Stefanov, Laxima Niure Kandel, Sean Crouse and Boyan Jekov

Open Access

|Sep 2025

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

Publication frequency: 4 issues per year

Keywords:

SOC optimization,

KPI automation,

machine learning,

Related subjects:

Business and economics,

Business management,

Business management, other,

Electrical engineering,

Fundamentals of electrical engineering,

Social sciences,

Political science,

Political science, other,

Education, other

© 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.

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