GuardDog AI is a container and workload security platform designed for hybrid and containerized environments. It runs natively on Red Hat infrastructure, including OpenShift, and provides agentless, AI-driven threat detection and automated attack containment. The platform performs continuous behavioral monitoring of container and workload activity to identify anomalies. When an attack is detected, it autonomously isolates the threat in real time without requiring human intervention — targeting containment in milliseconds rather than minutes. GuardDog AI supports deployment across OpenShift clusters, on-premises servers, multiple clouds, and edge devices. It can be deployed as a sidecar within CI/CD pipelines, enabling security to be embedded across build, deploy, and run stages without disrupting development workflows. A unified dashboard provides centralized visibility across all monitored environments, including behavioral vulnerability scoring, attack logs, and analytics. The platform supports multi-tenant operations, making it applicable for MSSPs managing multiple client environments. Key operational claims include a 200x faster containment speed compared to manual processes, 65% reduction in operational overhead, and 95% automation of alert triage — with the goal of eliminating false positives and reducing alert fatigue. It also targets compliance reporting improvements for regulated industries such as healthcare.