Year: 2025
Type: article
Abstract: Cloud security has become a target for more and more threats and thus requires more advanced solutions for foretelling and preventing cyberattacks. Taking an AI enabled threat intelligence angle to the cloud, this research studies how ML models can minimize risks and anomalies so as to detect threats in the cloud computing environment. The study examines AI’s ability to lower false positives and false negatives through analyzing big data. The enhanced security response time as well as minimized vulnerabilities are achieved by introducing predictive analytics into the framework proposed. The risk reduction, according to the results, is 68.3%. In this study, we show how it is important to incorporate the use of AI in cybersecurity for making cloud security frameworks stronger against the evolving threats
Author: Rahul Amte
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408758627