Integrating advanced artificial intelligence (AI) into healthcare chatbots has revolutionized patient care by enabling efficient, personalized, and accessible services. However, the rapid adoption of these systems underscores the critical need to balance AI innovation with robust cybersecurity measures. This paper presents a comprehensive architecture for a secure healthcare chatbot system that encompasses key components such as user interfaces, AI and natural language processing (NLP) engines, and data storage with end-to-end encryption. A dedicated security and compliance layer ensures adherence to regulations like HIPAA and GDPR while mitigating risks through multi-factor authentication and real-time threat analysis. Analytics and monitoring modules provide actionable insights and detect security incidents, while seamless integration with healthcare systems facilitates appointment scheduling, telemedicine, and medication management. Continuous learning mechanisms and model retraining enhance the chatbot’s accuracy and adaptability. This framework offers a roadmap for deploying healthcare chatbots that prioritize technological advancement and data privacy, fostering trust and efficacy in patient care.