The increasing dependence on digital networks has resulted in a significant rise in cyber threats that can affect the confidentiality, integrity, and availability of information systems. Intrusion Detection Systems (IDS) play a vital role in identifying suspicious activities within network environments. While machine learning techniques have improved intrusion detection accuracy, many models function as black-box systems, making their predictions difficult to interpret. This lack of transparency