Comprehensive Assessment of Cybersecurity Measures: Evaluating Incident Response, AI Integration, and Emerging Threats

Many organizations still face significant challenges in effectively responding to incidents, integrating AI into their security frameworks, and managing the dynamic nature of emerging threats. These challenges highlight a critical need for a holistic evaluation of current practices to identify strengths, weaknesses, and opportunities for improvement. This article explores the vital and currently relevant subject matter of using artificial intelligence (AI) technologies within the discipline of cybersecurity. The primary aspects of records protection, where AI modules are actively integrated, are analyzed. Defensive AI recommendations based primarily on current software solutions are presented with the goal of enhancing cybersecurity effectiveness and ensuring the technological independence. Based on a survey of 88 employees from information security departments, this study highlights the practical benefits and feasibility of implementing AI-based security systems in various sectors. AI is increasingly being used to enhance cybersecurity, with many organizations reporting improvements in threat detection and incident response.

Authors

Institutions

Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/netapps63333.2024.10823603
Citations
14
Primary Topic
Disaster Response and Management
Type
article
Field-Weighted Citation Impact
10.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive Assessment of Cybersecurity Measures: Evaluating Incident Response, AI Integration, and Emerging Threats

Azmi Halasa, Mowafaq Salem Alzboon, Ahmad Fuad Bader, Muhyeeddin Alqaraleh et al.
14 citations
Disaster Response and Management
10.41
article

Comprehensive Assessment of Cybersecurity Measures: Evaluating Incident Response, AI Integration, and Emerging Threats

Azmi Halasa, Mowafaq Salem Alzboon, Ahmad Fuad Bader, Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah, Mutaz Abdel Wahed
article en
14 citations

Abstract

Many organizations still face significant challenges in effectively responding to incidents, integrating AI into their security frameworks, and managing the dynamic nature of emerging threats. These challenges highlight a critical need for a holistic evaluation of current practices to identify strengths, weaknesses, and opportunities for improvement. This article explores the vital and currently relevant subject matter of using artificial intelligence (AI) technologies within the discipline of cybersecurity. The primary aspects of records protection, where AI modules are actively integrated, are analyzed. Defensive AI recommendations based primarily on current software solutions are presented with the goal of enhancing cybersecurity effectiveness and ensuring the technological independence. Based on a survey of 88 employees from information security departments, this study highlights the practical benefits and feasibility of implementing AI-based security systems in various sectors. AI is increasingly being used to enhance cybersecurity, with many organizations reporting improvements in threat detection and incident response.

Zarqa University (JO), Jadara University (JO)
Openalex Percentile: Top 1%
Disaster Response and Management
10.41
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.