AI-Augmented Security Protocols for Scalable Cloud Infrastructure Management

This research paper provides a general discussion of AI-powered security products intended to increase cloud infrastructure management scalability, reliability, and security posture. The overall aim is to identify the feasibility of AI, especially ML and DL methods, to complement security aspects of cloud computing. These measures include intrusion detection systems (IDS), threat modeling, vulnerability management, real-time security monitoring, and anomaly detection. AI technologies offer a chance for these measures to be improved through adaptive response to ongoing threats, threat prediction of possible vulnerabilities, and automatic response on recommendations in real-time. These AI techniques improve the response to security threats quicker than normal systems, thus minimizing the possible effect of cyberattacks.