Assistive systems play an increasingly important role in healthcare, as they can help individuals with disabilities, chronic conditions, or age-related health issues to live independently and manage their health more effectively. However, these systems also present security risks, as they may contain sensitive health data and rely on technology that can malfunction or be hacked. To address these risks, AI-based digital health communication can be used to monitor and secure assistive systems. This approach provides real-time monitoring, personalized feedback, predictive analytics, remote support, and secure data sharing to ensure the security and performance of assistive systems. By leveraging AI-based digital health communication, we can improve the safety and efficacy of assistive systems and enhance the quality of life of individuals who rely on these technologies to manage their health. This chapter explores the use of AI-based digital health communication for securing assistive systems, including related work and examples of how this technology can be applied in practice.