The integration of electroencephalogram (EEG) signals with Internet of Things (IoT) technologies has opened new frontiers in secure health monitoring and data communication. This research presents a secure IoT-based system that leverages EEG signals for proactive health surveillance and encrypted information transfer. The given system is able to monitor the cognitive and physiological state with the assistance of real-time EEG data collected by wearable sensors that allow early identification of abnormalities including stress, fatigue or even neurological disorders. Lightweight gate: By using a lightweight encryption algorithm, injected with the sensitive biometric data, its transmission is kept safe over wireless networks preserving system integrity and patient privacy. The architecture is composed of an EEG acquisition block, a data processing and encryption block, and the cloud-based analytics platform with an opportunity to generate an alert. Experiments indicate the efficiency of the system to ensure a high level of data accuracy at lower latency and energy efficiency. The work helps develop intelligent health care monitoring which would be safe to users and cyber safe.