Analysis on potential of artificial intelligence (AI) in fortifying cybersecurity within the telecommunications industry

The expansion of cyber risks is a major concern for the security and operational integrity of the telecoms sector, which is becoming more dependent on networked digital infrastructure. In order to better comprehend and utilize the capabilities of artificial intelligence (AI) to strengthen cybersecurity in the telecoms sector, this paper provides a conceptual framework. In order to improve threat detection, mitigation, and response tactics, the framework combines the revolutionary power of AI with the specific needs of cybersecurity in telecoms. This method takes a multi-faceted view, considering the interdependence of technological aspects, human factors, and regulatory frameworks, as well as organizational and technical aspects. The AI-powered enhancement of proactive threat information gathering and analysis is the first area explored in the framework. Telecom operators may now anticipate possible weaknesses, detect unusual trends, and adjust defensive measures in advance thanks to AI's sophisticated algorithms and machine learning techniques. Second, it delves into AI-powered answers to the problems of adaptive cybersecurity procedures and dynamic risk assessment. Telecom networks may defend themselves against intrusions and breaches continuously by using real-time data analytics and automated decision-making to respond quickly to new threats. Moreover, the model highlights AI's function in enhancing human capacities via cognitive support and intelligent automation. Cybersecurity experts are free to concentrate on big-picture efforts and complicated threat scenarios thanks to AI, which automates mundane jobs and provides insights based on specific contexts. Last but not least, the framework discusses the ethics, responsibility, and openness that are crucial when using AI for telecom cybersecurity. It promotes industry-wide cooperation and ethical AI governance frameworks that put an emphasis on privacy, equity, and the reduction of prejudice. In conclusion, this theoretical framework lays forth a plan to strengthen cybersecurity resilience in the telecom industry by utilizing AI's revolutionary capabilities. This will protect vital infrastructure and guarantee the reliability of communication networks worldwide.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.15044655
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis on potential of artificial intelligence (AI) in fortifying cybersecurity within the telecommunications industry

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Analysis on potential of artificial intelligence (AI) in fortifying cybersecurity within the telecommunications industry

article en

Abstract

The expansion of cyber risks is a major concern for the security and operational integrity of the telecoms sector, which is becoming more dependent on networked digital infrastructure. In order to better comprehend and utilize the capabilities of artificial intelligence (AI) to strengthen cybersecurity in the telecoms sector, this paper provides a conceptual framework. In order to improve threat detection, mitigation, and response tactics, the framework combines the revolutionary power of AI with the specific needs of cybersecurity in telecoms. This method takes a multi-faceted view, considering the interdependence of technological aspects, human factors, and regulatory frameworks, as well as organizational and technical aspects. The AI-powered enhancement of proactive threat information gathering and analysis is the first area explored in the framework. Telecom operators may now anticipate possible weaknesses, detect unusual trends, and adjust defensive measures in advance thanks to AI's sophisticated algorithms and machine learning techniques. Second, it delves into AI-powered answers to the problems of adaptive cybersecurity procedures and dynamic risk assessment. Telecom networks may defend themselves against intrusions and breaches continuously by using real-time data analytics and automated decision-making to respond quickly to new threats. Moreover, the model highlights AI's function in enhancing human capacities via cognitive support and intelligent automation. Cybersecurity experts are free to concentrate on big-picture efforts and complicated threat scenarios thanks to AI, which automates mundane jobs and provides insights based on specific contexts. Last but not least, the framework discusses the ethics, responsibility, and openness that are crucial when using AI for telecom cybersecurity. It promotes industry-wide cooperation and ethical AI governance frameworks that put an emphasis on privacy, equity, and the reduction of prejudice. In conclusion, this theoretical framework lays forth a plan to strengthen cybersecurity resilience in the telecom industry by utilizing AI's revolutionary capabilities. This will protect vital infrastructure and guarantee the reliability of communication networks worldwide.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure, Partnerships for the goals
Openalex Percentile: Top 38%
Internet of Things and AI
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.