Fortifying the Frontline: The Critical Role of Endpoint Security in Cyber Defense
DOI:
https://doi.org/10.5281/zenodo.18738389Keywords:
Endpoint security, zero-trust architecture, artificial intelligence, threat detection, cyber security integrationAbstract
The rapid expansion of distributed computing, cloud services, and remote work has fundamentally transformed enterprise attack surfaces, placing endpoint devices at the center of modern cybersecurity risk. This article presents a comprehensive analytical framework for understanding endpoint security as a layered, adaptive defense system rather than a collection of isolated tools. Drawing upon empirical breach data, threat intelligence reports, and industry security architectures, this work examines the evolution of endpoint-centric attack vectors, the technological foundations of modern endpoint protection platforms, and the role of artificial intelligence in detecting and mitigating advanced threats. The paper further introduces a structured model for evaluating endpoint security maturity that integrates identity, device integrity, behavioral telemetry, and data protection. This research contributes to the cybersecurity field by providing a systematic, data-driven approach for aligning endpoint defense strategies with Zero Trust and enterprise risk management objectives.
References
SentinelOne, "Top 10 Endpoint Security Risks in 2025," SentinelOne, 2024. [Online]. Available: https://www.sentinelone.com/cybersecurity-101/endpoint-security/endpoint-security-risks/
SkyQuest, "Endpoint Security Market Size, Share, and Growth Analysis," SkyQuest, 2025. [Online]. Available: https://www.skyquestt.com/report/endpoint-security-market
Verizon, "2023 Data Breach Investigations Report: frequency and cost of social engineering attacks skyrocket," Verizon, 2023. [Online]. Available: https://www.verizon.com/about/news/2023-data-breach-investigations-report
World Economic Forum, "Global Risks Report 2024," World Economic Forum, 2024. [Online]. Available: https://www.weforum.org/publications/global-risks-report-2024/in-full/
Evgeny Mirolyubov and Max Taggett, "Magic Quadrant for Endpoint Protection Platforms," Gartner, 2023. [Online]. Available: https://www.exclusive-networks.com/ro/wp-content/uploads/sites/44/2024/01/Gartner-Reprint_2023.12_EPP_Magic_Q.pdf
Allie Mellen, "Announcing The Forrester Wave™: Extended Detection And Response Platforms, Q2 2024," Forrester, 2024. [Online]. Available: https://www.forrester.com/blogs/announcing-the-forrester-wave-extended-detection-and-response-platforms-q2-2024/
Deepika Choudhary, "Machine Learning Meets Endpoint Security: The Future of Predictive Threat Detection," HCL Software, 2024. [Online]. Available: https://hcl-software.com/blog/bigfix/machine-learning-meets-endpoint-security-the-future-of-predictive-threat-detection
Arjun Jaggi, "AI in Cybersecurity: The Next Frontier - Emerging Trends and Real-World Applications," LinkedIn, 2024. [Online]. Available: https://www.linkedin.com/pulse/ai-cybersecurity-next-frontier-emerging-trends-real-world-jaggi-kmhxc
Chase Snyder, "SANS ICS Security Survey 2023 Results and Insights," Xage Security, 2023. [Online]. Available: https://xage.com/blog/sans-ics-security-survey-results/
Tom Burt, "Microsoft Digital Defense Report 2023," Microsoft Corporation, 2023. [Online]. Available: https://www.microsoft.com/en-us/security/security-insider/microsoft-digital-defense-report-2023
Microsoft, "Implementing a Zero Trust security model at Microsoft," Microsoft Inside Track, 2024. [Online]. Available: https://www.microsoft.com/insidetrack/blog/implementing-a-zero-trust-security-model-at-microsoft/
MarketsandMarkets, "Cloud Data Security Market by Offering, Organization Size (Large Enterprises and SMEs), Offering Type, Vertical (BFSI, Retail & eCommerce, Government and Defense, Healthcare and Life Sciences, IT and ITeS, Telecom) and Region - Global Forecast to 2027," MarketsandMarkets, 2023. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/cloud-data-security-market-101999088.html
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 IPHO-Journal of Advance Research in Science And Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties and that the Article has not been published elsewhere. Author(s) agree to the terms that the IPHO Journal will have the full right to remove the published article on any misconduct found in the published article.
