AIoT-Driven Health Behavioral Security: Vision and Challenges

As digital innovation progresses, individuals are increasingly, often unknowingly, exposed to digital temptations and deceptive tactics. These risks, now magnified by foundation AI models, call for protective measures beyond what current digital health technologies can offer. This article introduces Health Behavioral Security, a novel AIoT-driven framework that positions trusted AIoT devices as a distributed “System 0” layer—an always-on, pre-conscious filter that can sense, interpret, and modulate persuasive cues in real time. Guided by five behavior-centric constructs—Assets, Threats, Vulnerabilities, Risks, and Countermeasures—the framework could establish a secure behavioral ecosystem in which adaptive sensing and nudging loops help preserve autonomy while promoting well-being. We present this vision, outline key research challenges, and discuss future directions for advancing AIoT-based behavioral security in today’s increasingly digital society.