This blog post details an advanced testing approach for infrastructure red teaming using abliterated models, specifically within the context of the Red Hat OpenShift Container Platform. The author shares empirical findings from deploying an agent workload, illustrating the effectiveness of various security controls (like sandboxing and network policies) against adversarial prompts and attacks. The experiment highlights significant security gaps and the importance of rigorous testing in achieving effective defense-in-depth architectures for AI agents deployed in production.