STRATEGIES LEVERAGING AI IN DEVSECOPS FOR CLOUD ENVIRONMENTS

This paper aims to review how AI can be implemented in DevSecOps for cloud environments for the improvement of security across the SDLC. Authenticated automation, predictive analytics, and detecting threats are significant in realizing the cloud-native applications’ complexity and speed. Some of the focused strategies are AI in Security Testing, AI Powered Vulnerability Management, and AI in Compliance with regular and deeper security checks against the latest threats that might threaten the system. Subsequent trends reveal factors that define the utilization of AI in threat intelligence as well as prediction for secure software development in the future. The paper presents continuity of security as an important aspect of cloud application development with the emphasis on AI’s contributions to it. Keywords - Security Testing, AI, DevSecOps, DevOps, Cloud Environments