In IDS, the classification task becomes an indispensable step, in which it classifies the input databases into two distinct categories by detecting whether the network is affected by any intrusions or not. To achieve efficient classification results, we developed a Bidirectional Long Short-Term Memory based Explainable Artificial Intelligence framework (BiLSTM-XAI) which determines the presence of any unauthorized and abnormal behavior of the network accurately. The elaborated illustrations of these techniques are detailed in the following sub-sections.