Hybrid AI Architecture refers to a system design that combines different types of artificial intelligence models - such as rule-based systems, machine learning, and deep learning - to work together for enhanced performance. In cybersecurity, this approach enables more effective detection and response to threats by leveraging the strengths of each AI model. For example, rule-based AI can quickly flag known threats, while machine learning models can identify new, evolving attack patterns. By integrating multiple AI techniques, hybrid AI architectures offer greater accuracy, adaptability, and resilience against cyber threats compared to relying on a single AI method.