Role of Artificial Intelligence and Machine Learning to Enhancing Cloud Security

Organisations now have the ability to store, analyse, and manage their data more efficiently and flexibly thanks to cloud computing. Meanwhile, it's not easy to maintain robust cloud security when cyber threats are constantly evolving. This chapter explores the main functions of AI and ML to help you better understand their contributions to cloud security. The use of AI and ML allows organisations to strengthen their cloud infrastructure by detecting, mitigating, and responding to new cyber threats as they emerge. Security systems can now identify trends, outliers, and possible dangers in massive datasets with the help of AI-driven methodologies. Machine learning algorithms have the ability to learn from attack data that has already occurred, which allows for the identification of potential dangers and the creation of better defences. Further, identity management is strengthened by AI-enhanced authentication and access control systems, which lessen the likelihood of data breaches and unauthorised access.

Authors

Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icec59683.2024.10837120
Citations
2
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
1.56
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article

Role of Artificial Intelligence and Machine Learning to Enhancing Cloud Security

Anand Polamarasetti
2 citations
Spam and Phishing Detection
1.56
article

Role of Artificial Intelligence and Machine Learning to Enhancing Cloud Security

Anand Polamarasetti
article en
2 citations

Abstract

Organisations now have the ability to store, analyse, and manage their data more efficiently and flexibly thanks to cloud computing. Meanwhile, it's not easy to maintain robust cloud security when cyber threats are constantly evolving. This chapter explores the main functions of AI and ML to help you better understand their contributions to cloud security. The use of AI and ML allows organisations to strengthen their cloud infrastructure by detecting, mitigating, and responding to new cyber threats as they emerge. Security systems can now identify trends, outliers, and possible dangers in massive datasets with the help of AI-driven methodologies. Machine learning algorithms have the ability to learn from attack data that has already occurred, which allows for the identification of potential dangers and the creation of better defences. Further, identity management is strengthened by AI-enhanced authentication and access control systems, which lessen the likelihood of data breaches and unauthorised access.

Openalex Percentile: Top 11%
Spam and Phishing Detection
1.56
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