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AI Can?t Defend What It Can?t Contextualize: The Persistent Value of Human Intuition in Cybersecurity
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
Artificial intelligence (AI) stands as a vital cybersecurity instrument in the present-day security framework for threat detection while simultaneously carrying out automated responses throughout predicting security vulnerabilities. These sophisticated systems demonstrate boundaries in their abilities since they cannot understand complete contextual cases involving complex, unfamiliar, or uncertain scenarios. The study analyzes the critical function of human intuition when securing systems because it delivers needed contextual awareness to ethical processes and practical experience-based evaluation during critical situations. Multidisciplinary research covering computer science, cognitive psychology, information systems, and philosophy operates as the base for reviewing the literature and analyzing real-world case studies and theoretical models about weaknesses in AI conclusions. The analysis investigates how humans retain their cognitive advantage for detecting deliberate actions along with fraudulent conduct and adapting their responses to developing security threats. The proposed hybrid cyber defence model features AI system support rather than replacing human intuition through synthesising technical and human-centric information. The authors present a detailed interpretation of cyber human-AI collaboration methods to demonstrate why human operators need to retain their position in security operations when facing the growing automation of cybersecurity systems.
Keywords
AI (Artificial Intelligence), Cybersecurity, Human Intuition, Contextualization, Cyber Defence
How to cite this paper
@article{1708115,
author = {Eniola Akinola Odedina, Adetayo Abraham-Adeyemo},
title = {AI Can?t Defend What It Can?t Contextualize: The Persistent Value of Human Intuition in Cybersecurity},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {10},
pages = {1109-1119},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708115.pdf},
abstract = {Artificial intelligence (AI) stands as a vital cybersecurity instrument in the present-day security framework for threat detection while simultaneously carrying out automated responses throughout predicting security vulnerabilities. These sophisticated systems demonstrate boundaries in their abilities since they cannot understand complete contextual cases involving complex, unfamiliar, or uncertain scenarios. The study analyzes the critical function of human intuition when securing systems because it delivers needed contextual awareness to ethical processes and practical experience-based evaluation during critical situations. Multidisciplinary research covering computer science, cognitive psychology, information systems, and philosophy operates as the base for reviewing the literature and analyzing real-world case studies and theoretical models about weaknesses in AI conclusions. The analysis investigates how humans retain their cognitive advantage for detecting deliberate actions along with fraudulent conduct and adapting their responses to developing security threats. The proposed hybrid cyber defence model features AI system support rather than replacing human intuition through synthesising technical and human-centric information. The authors present a detailed interpretation of cyber human-AI collaboration methods to demonstrate why human operators need to retain their position in security operations when facing the growing automation of cybersecurity systems.},
keywords = {AI (Artificial Intelligence), Cybersecurity, Human Intuition, Contextualization, Cyber Defence},
month = {April},
}