International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Over the past decade, security incidents, service outages, and a rise in malicious attacks against Cloud services have highlighted the need for continuous security assurance both during Cloud service development and operation. The adoption of Artificial Intelligence (AI) in any aspect of society is an emerging trend, and Cloud services are no exception. AI-based processes are continuously being deployed to enable organizations to confront the growing number of sophisticated cyber threats targeting Cloud environments. The easy adoption and scalability offered by AI and machine learning-based algorithms make them ideal for Cloud environments. A Cloud Security Reference Architecture (Cloud-SRA) and Cloud Security Assurance are critical for CI/CD and DevSecOps to ensure that security is a major requirement to be met before Cloud service deployment.
Various Industry Use Cases have been published by the leading Clouds Service Providers (CSPs) demonstrating the effectiveness of AI in protecting their Cloud offerings. Continuous detection and response is one of the key approaches to application and security service reliability, and AI-based algorithms are being deployed to achieve it. The challenging issue of vulnerability and misconfiguration detection is being addressed through AI methods. Security forensics is yet another area that is facing a huge demand due to the number and severity of breaches occurring, and Cyber security stakeholders are adopting AI in many aspects, aiming to improve time detection/duration of impacts and enabling a holistic approach. In the rapidly changing technology landscape of the Cloud, automated support in the detection of security configuration policy compliance is evolving to remain relevant.

Keywords: AI-Driven Cloud Security, Cloud Security Assurance, Cloud Security Reference Architecture, DevSecOps Security Integration, CI/CD Cloud Security, Continuous Security Monitoring, AI-Based Threat Detection, Cloud Incident Response, Vulnerability Detection Automation, Cloud Misconfiguration Analysis, Security Forensics In The Cloud, Automated Compliance Monitoring, Cloud Configuration Policy Enforcement, Machine Learning For Cybersecurity, CSP Security Use Cases, Scalable AI Security Solutions, Cloud Service Reliability, Proactive Cloud Defense, Cyber Threat Mitigation, Adaptive Cloud Security Systems.

Downloads: | DOI: 10.17148/IJARCCE.2024.131269