The Rise of Artificial Intelligence: Industry Insights and Applications in Security Information and Event Management (SIEM)

In recent years, Artificial Intelligence (AI) has become a focal point for companies, governments, and especially threat actors, all striving to improve system efficiency, efficacy, and responsiveness. By training complex systems based on the concept of a “neural network,” an artificial structure modeled after the pathways of the natural brain, machines are now capable of performing intricate tasks and automated processes independent of human control. Given this rapid development, several ethical considerations in data and cybersecurity must be managed or monitored. As laws and regulations continue to evolve, companies face critical decisions regarding how models are trained and how these models impact various stakeholders. After providing a general overview of the core functionalities and a technical description of Artificial Intelligence, machine learning, and the different types of AI, this paper delves into the current cybersecurity applications of AI, particularly focusing on its implementation in Security Information and Event Management (SIEM) systems and how this integration has revolutionized these technologies. Additionally, this paper offers an overview of various pioneering entities and their contributions to AI development, emerging AI trends, and diverse AI applications, including a range of AI leaders across different specialties, from generative AI to cybersecurity solutions.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/uemcon62879.2024.10754705
Citations
2
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
1.56
Controls
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article

The Rise of Artificial Intelligence: Industry Insights and Applications in Security Information and Event Management (SIEM)

Michael Chan, Kutub Thakur, Md Liakat Ali, Helen Barker
2 citations
Information and Cyber Security
1.56
article

The Rise of Artificial Intelligence: Industry Insights and Applications in Security Information and Event Management (SIEM)

Michael Chan, Kutub Thakur, Md Liakat Ali, Helen Barker
article en
2 citations

Abstract

In recent years, Artificial Intelligence (AI) has become a focal point for companies, governments, and especially threat actors, all striving to improve system efficiency, efficacy, and responsiveness. By training complex systems based on the concept of a “neural network,” an artificial structure modeled after the pathways of the natural brain, machines are now capable of performing intricate tasks and automated processes independent of human control. Given this rapid development, several ethical considerations in data and cybersecurity must be managed or monitored. As laws and regulations continue to evolve, companies face critical decisions regarding how models are trained and how these models impact various stakeholders. After providing a general overview of the core functionalities and a technical description of Artificial Intelligence, machine learning, and the different types of AI, this paper delves into the current cybersecurity applications of AI, particularly focusing on its implementation in Security Information and Event Management (SIEM) systems and how this integration has revolutionized these technologies. Additionally, this paper offers an overview of various pioneering entities and their contributions to AI development, emerging AI trends, and diverse AI applications, including a range of AI leaders across different specialties, from generative AI to cybersecurity solutions.

Baruch College (US), Rider University (US)
Openalex Percentile: Top 12%
Information and Cyber Security
1.56
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