🤖 AI Summary
This study addresses the growing challenge of digital threats in healthcare by proposing an AI-integrated framework tailored to medical environments. The framework synergistically combines intelligent threat detection, automated response mechanisms, and privacy-enhancing technologies, all underpinned by design principles of transparency and regulatory compliance. Validated through real-world healthcare case studies, the approach demonstrably strengthens system security while ensuring adherence to stringent privacy regulations such as HIPAA and GDPR. The primary contribution lies in establishing a practical, deployable pathway for AI-driven security that balances robust protection, regulatory conformity, and operational transparency—offering healthcare institutions a technically sound and ethically responsible solution to contemporary cybersecurity and data privacy challenges.
📝 Abstract
As digital threats continue to grow, organizations must find ways to enhance security while protecting user privacy. This paper explores how artificial intelligence (AI) plays a crucial role in achieving this balance. AI technologies can improve security by detecting threats, monitoring systems, and automating responses. However, using AI also raises privacy concerns that need careful consideration.We examine real-world examples from the healthcare sector to illustrate how organizations can implement AI solutions that strengthen security without compromising patient privacy. Additionally, we discuss the importance of creating transparent AI systems and adhering to privacy regulations.Ultimately, this paper provides insights and recommendations for integrating AI into healthcare security practices, helping organizations navigate the challenges of modern management while keeping patient data safe.