Critical infrastructure forms the backbone of modern society by providing an efficient and interconnected communication network. In addition to the emergence of various secure solutions, numerous other critical issues require resolution alongside the assurance of network security. Although complex security structures enhance security, they also introduce delays in storage, computation, and other areas, which may invite intruders to harm the system's performance. This article proposes a unified mechanism integrating a secure policy framework comprising a multi-risk security model, an ANOVA-based statistical validation mechanism, and a context-aware security policy to ensure resilient and secure critical infrastructure. The proposed mechanism captures heterogeneous risks across the physical, cyber, and operational domains using separate encoders that help in modeling characteristics of each domain. Furthermore, a context-gated attention mechanism is utilized to measure weights for temporal, behavioral, and environmental signals, which ensures threat protection without retraining. An ANOVA-based statistical validation is used for quantifying improvements in overall performance across multiple metrics, including F1, accuracy, and resiliency score. The proposed mechanism ensures optimal and accurate decision-making in a multi-domain environment by reducing vulnerabilities in critical infrastructure.