Artificial Intelligence Applications for Enhanced Predictive Cybersecurity in Cloud Ecosystem

Puneet Gautam

doi:10.59367/xzfpxg45

Authors

Puneet Gautam Information Systems Engineering, Harrisburg University of Science and Technology, Harrisburg, PA

DOI:

https://doi.org/10.59367/xzfpxg45

Keywords:

Artificial Intelligence, Predictive Cybersecurity, Cloud Systems, Machine Learning, Threat Detection, Anomaly Detection, Cybersecurity Automation

Abstract

In today's digital landscape, cloud systems have become integral to business operations, offering scalability, flexibility, and cost-efficiency. However, these benefits are accompanied by heightened cybersecurity risks, with cloud environments increasingly targeted by sophisticated cyber threats. This paper explores the application of Artificial Intelligence (AI) in enhancing predictive cybersecurity for cloud systems. It emphasizes the role of AI in identifying potential threats before they materialize, thus providing a proactive defense mechanism against cyberattacks. The study begins by reviewing the current state of cybersecurity in cloud computing, highlighting existing vulnerabilities and common attack vectors. It then examines how AI techniques, such as machine learning, deep learning, and natural language processing, can be leveraged to detect anomalies, predict potential breaches, and automate threat response processes. By analyzing large volumes of data in real-time, AI models can identify patterns and anomalies that may signify a security threat, enabling quicker and more accurate responses than traditional cybersecurity methods. A comparative analysis of various AI-driven cybersecurity models is conducted, focusing on their effectiveness in different cloud environments. The paper also addresses the challenges associated with implementing AI in cloud cybersecurity, including data privacy concerns, the need for substantial computational resources, and the risk of adversarial attacks against AI models. Through case studies and experimental results, this research demonstrates the potential of AI to transform cybersecurity practices in cloud computing, offering a robust solution to predict, detect, and mitigate cyber threats. The findings suggest that integrating AI with existing security frameworks can significantly enhance the overall security posture of cloud systems, reducing the likelihood of successful attacks and minimizing the impact of breaches. This paper concludes by discussing future directions for research in AI-based cloud security, emphasizing the need for ongoing advancements to stay ahead of evolving cyber threats.

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