Model architecture in cybersecurity refers to the structured design and organization of an artificial intelligence (AI) or machine learning model. It defines how different components, such as layers, nodes, and connections, are arranged and how data flows through the system. The architecture determines the model’s ability to process information, learn patterns, and make predictions. In cybersecurity, choosing the right model architecture is crucial for tasks like intrusion detection, malware classification, and threat analysis. A well-designed architecture enhances the model’s accuracy, efficiency, and resilience against adversarial attacks or manipulation, making it a foundational aspect of secure AI deployment.