Leveraging AI and Automation in Cloud Security for Vulnerability Management

EasyChair Preprint 14773

Abstract

The rapid expansion of cloud computing has increased the complexity of managing security vulnerabilities across distributed environments. Leveraging artificial intelligence (AI) and automation in cloud security presents a transformative approach to vulnerability management, enabling organizations to stay ahead of potential threats. This paper explores how AI-driven tools and automated processes can enhance vulnerability detection, assessment, and remediation in cloud infrastructures. It discusses the role of machine learning algorithms in identifying patterns and predicting vulnerabilities, as well as the benefits of automated patch management, continuous monitoring, and threat intelligence integration. The paper also highlights the advantages of AI and automation in reducing human error, speeding up response times, and improving overall security posture. By harnessing these advanced technologies, organizations can achieve more robust and proactive cloud security, effectively minimizing risks in a constantly evolving cyber threat landscape.

Keyphrases: AI-driven security, Cloud Security, Cybersecurity, Vulnerability Remediation, automated scanning, cloud environments., patch management

@booklet{EasyChair:14773,
  author    = {Toluwani Bolu},
  title     = {Leveraging AI and Automation in Cloud Security for Vulnerability Management},
  howpublished = {EasyChair Preprint 14773},
  year      = {EasyChair, 2024}}