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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.15697 |
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| _version_ | 1866908781072351232 |
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| author | P, Binu V Bhaskar, Deepthy K B, Minimol |
| author_facet | P, Binu V Bhaskar, Deepthy K B, Minimol |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_15697 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems P, Binu V Bhaskar, Deepthy K B, Minimol Cryptography and Security Machine Learning 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. |
| title | Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems |
| topic | Cryptography and Security Machine Learning |
| url | https://arxiv.org/abs/2601.15697 |