Enhancing Endpoint Security Using Artificial Intelligence and Machine Learning Leveraging Endpoint Security Component Logs

Abstract: Endpoint security is a critical aspect of modern cybersecurity, as endpoints are often the primary targets for malware and malicious activities. Endpoint Security solutions play a crucial role in protecting these endpoints by detecting and mitigating malware threats. However, the effectiveness of Endpoint Security solutions can be significantly enhanced by leveraging the valuable insights provided by endpoint security component’s informative logs. Artificial intelligence (AI) and machine learning (ML) techniques have emerged as powerful tools in the fight against cyber threats. This review paper explores the various techniques and strategies on the use of AI and ML specifically in leveraging different types of Endpoint security component logs or events to enhance endpoint security. By analyzing and interpreting these logs, organizations can gain valuable insights into potential security incidents, detect anomalies, and improve threat detection capabilities. Keywords: Endpoint Security Logs, Antimalware logs, Firewall Logs, Endpoint Security, XDR, EDR, Endpoint Detection and Response (EDR), Extended Detection and Response (XDR), Enhancing cyber security, log collection and correlations, Threat Detection, Responding to endpoint threats. Title: Enhancing Endpoint Security Using Artificial Intelligence and Machine Learning Leveraging Endpoint Security Component Logs Author: Mohammed Mujtaba, Aseel A Omair, Rawan A Zowaid International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 13, Issue 3, July 2025 - September 2025 Page No: 182-184 Research Publish Journals Website: www.researchpublish.com Published Date: 22-September-2025 DOI: https://doi.org/10.5281/zenodo.17176700 Paper Download Link (Source) https://www.researchpublish.com/papers/enhancing-endpoint-security-using-artificial-intelligence-and-machine-learning-leveraging-endpoint-security-component-logs

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17176699
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Endpoint Security Using Artificial Intelligence and Machine Learning Leveraging Endpoint Security Component Logs

Zenodo (CERN European Organization for Nuclear Research)
Plant-Microbe Interactions and Immunity
article

Enhancing Endpoint Security Using Artificial Intelligence and Machine Learning Leveraging Endpoint Security Component Logs

article en

Abstract

Abstract: Endpoint security is a critical aspect of modern cybersecurity, as endpoints are often the primary targets for malware and malicious activities. Endpoint Security solutions play a crucial role in protecting these endpoints by detecting and mitigating malware threats. However, the effectiveness of Endpoint Security solutions can be significantly enhanced by leveraging the valuable insights provided by endpoint security component’s informative logs. Artificial intelligence (AI) and machine learning (ML) techniques have emerged as powerful tools in the fight against cyber threats. This review paper explores the various techniques and strategies on the use of AI and ML specifically in leveraging different types of Endpoint security component logs or events to enhance endpoint security. By analyzing and interpreting these logs, organizations can gain valuable insights into potential security incidents, detect anomalies, and improve threat detection capabilities. Keywords: Endpoint Security Logs, Antimalware logs, Firewall Logs, Endpoint Security, XDR, EDR, Endpoint Detection and Response (EDR), Extended Detection and Response (XDR), Enhancing cyber security, log collection and correlations, Threat Detection, Responding to endpoint threats. Title: Enhancing Endpoint Security Using Artificial Intelligence and Machine Learning Leveraging Endpoint Security Component Logs Author: Mohammed Mujtaba, Aseel A Omair, Rawan A Zowaid International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 13, Issue 3, July 2025 - September 2025 Page No: 182-184 Research Publish Journals Website: www.researchpublish.com Published Date: 22-September-2025 DOI: https://doi.org/10.5281/zenodo.17176700 Paper Download Link (Source) https://www.researchpublish.com/papers/enhancing-endpoint-security-using-artificial-intelligence-and-machine-learning-leveraging-endpoint-security-component-logs

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
Plant-Microbe Interactions and Immunity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.