Endpoint Security for Healthcare Devices: Protecting Patient Data on Windows and Samsung Assets

Abstract

Healthcare institutions in the digital age actively implement advanced technologies together with connected devices to achieve better healthcare services and operational process improvements. The transition to advanced healthcare technologies increases cybersecurity difficulties, especially with regard to endpoint defense systems. The Windows-based workstations and Samsung medical and mobile devices that serve as endpoint devices face rising attacks from cyber threats that attempt to access patient records. This research paper examines endpoint defense strategies that target healthcare facilities with special attention to Samsung devices and Windows operating systems. The paper examines healthcare system-specific vulnerabilities and then addresses threat pathways while reviewing present solutions before providing an all-encompassing endpoint security approach. The framework implements safe device parameters, encrypted data storage, biometric security features, and partitioned network infrastructure that combines with persistent threat detection protocols. The security framework meets compliance requirements, including HIPAA and GDPR standards, to protect health-related patient information. Our approach combines security layers with AI threat detection, mobile/fixed asset-specific policies, and scheduled risk evaluation. Our framework substantially improves endpoint resilience against ransomware, phishing attacks, data exfiltration, and insider threats through simulation and empirical tests. The research paper concludes with remarks on upcoming study guidelines and the necessity of developing an active security mindset within healthcare.