THE ROLE OF ARTIFICIAL INTELLIGENCE IN CYBER THREAT DETECTION

The continued advancement in AI calls for its application in different sectors, including cyber threat detection.The use of AI provides a remarkable step to enable critical growth and adjustment to help in attaining meaningful engagement with cyber threat detection.This article analyzes the application of AI in cyber security, models applied to help with cyber threat detection, advantages, and directions followed to remarkably ensure the best modeling of AI integration in cyber security.Notably, the article details that the application of AI for cyber threat detection comes with real-time monitoring and automated functionalities that enable critical adjustments to address the value and needs of AI adjustment to the desired level.More to the point, the application of AI demands vital information, bringing the challenge of privacy and confidentiality.This remarkable aspect helps to structure AI and place it in the best direction to achieve sustainable cyber security protection.A future direction for handling AI use in threat detection would include adversarial machine learning to enhance management and achievement of the proper detection and management of adversarial attacks on the AI framework.

Authors

Institutions

Publication Details

Published
2024-12-31
DOI
https://doi.org/10.34218/ijaird_02_02_013
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN CYBER THREAT DETECTION

Anirudh Khanna
Network Security and Intrusion Detection
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN CYBER THREAT DETECTION

Anirudh Khanna
article en

Abstract

The continued advancement in AI calls for its application in different sectors, including cyber threat detection.The use of AI provides a remarkable step to enable critical growth and adjustment to help in attaining meaningful engagement with cyber threat detection.This article analyzes the application of AI in cyber security, models applied to help with cyber threat detection, advantages, and directions followed to remarkably ensure the best modeling of AI integration in cyber security.Notably, the article details that the application of AI for cyber threat detection comes with real-time monitoring and automated functionalities that enable critical adjustments to address the value and needs of AI adjustment to the desired level.More to the point, the application of AI demands vital information, bringing the challenge of privacy and confidentiality.This remarkable aspect helps to structure AI and place it in the best direction to achieve sustainable cyber security protection.A future direction for handling AI use in threat detection would include adversarial machine learning to enhance management and achievement of the proper detection and management of adversarial attacks on the AI framework.

Vol. 2(2)
Pacific Environment (US)
Openalex Percentile: Top 71%
Network Security and Intrusion Detection
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.