Next-Generation AI-Enabled Incident Responses for Military Cloud Networks

We explore the feasibility of a next-generation AI-enabled automated incident response approach for military networks hosted on cloud infrastructure, utilizing infrastructure-as-code principles to enable rapid and scalable recovery mechanisms. The methodology includes isolating compromised components, preserving evidence for forensic analysis, and rebuilding affected resources to ensure the continuity of critical military services. The proposed approach provides a resilient, automated, and scalable solution to maintain critical service availability during cyber incidents. The experimental results are analyzed to validate the effectiveness of the methodology in real-world military network scenarios. We describe the challenges faced while executing incident response in the cloud. We also discuss the integration of autonomous cyber defense agents for automating incident detection and response. The paper outlines the possible further implementations of decoys, transforming the environment into a continuous training ground for the red team and eventual AI vs. AI playground.