How Artificial Intelligence and Automation are Transforming Cybersecurity

Recent advancements in artificial intelligence (AI) technology and automation have fundamentally transformed the landscape of cybersecurity. This research paper presents a novel framework for evaluating the effectiveness of AI integration in cybersecurity operations, addressing the growing gap between theoretical capabilities and practical implementation. Through quantitative analysis of 15 case studies across financial services, healthcare, and critical infrastructure sectors, this study identifies key success factors and common failure points in AI-driven security systems. The research contributes to the field by proposing the ?AI Security Integration Maturity Model? (ASIMM), a structured approach for organizations to assess and improve their AI-powered cybersecurity posture. The paper also examines ethical considerations, workforce implications, and technical challenges through the lens of this new framework, providing actionable insights for security practitioners and researchers.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-08-11
DOI
https://doi.org/10.21275/sr25807070203
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

How Artificial Intelligence and Automation are Transforming Cybersecurity

Sajith Narayanan
International Journal of Science and Research (IJSR)
Network Security and Intrusion Detection
article

How Artificial Intelligence and Automation are Transforming Cybersecurity

Sajith Narayanan
article en

Abstract

Recent advancements in artificial intelligence (AI) technology and automation have fundamentally transformed the landscape of cybersecurity. This research paper presents a novel framework for evaluating the effectiveness of AI integration in cybersecurity operations, addressing the growing gap between theoretical capabilities and practical implementation. Through quantitative analysis of 15 case studies across financial services, healthcare, and critical infrastructure sectors, this study identifies key success factors and common failure points in AI-driven security systems. The research contributes to the field by proposing the ?AI Security Integration Maturity Model? (ASIMM), a structured approach for organizations to assess and improve their AI-powered cybersecurity posture. The paper also examines ethical considerations, workforce implications, and technical challenges through the lens of this new framework, providing actionable insights for security practitioners and researchers.

International Journal of Science and Research (IJSR)
Openalex Percentile: Top 77%
Network Security and Intrusion Detection
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