Cybersecurity Threat Intelligence Frameworks in Healthcare Data Systems

Authors

  • Muath Rebdi AlRebdi, Sultan Khalid AlQahtani

Keywords:

Cybersecurity, Healthcare data systems, Threat intelligence, NIST CSF, HIPAA, IoMT security, Artificial intelligence, Patient safety.

Abstract

Background:-The digital transformation of healthcare, driven by electronic health records (EHRs), telemedicine, and
the Internet of Medical Things (IoMT), has revolutionized patient care but simultaneously exposed healthcare systems
to unprecedented cybersecurity threats. Ransomware, phishing, insider threats, and third-party risks now jeopardize
patient safety, data privacy, and operational continuity, making cybersecurity a critical pillar of modern healthcare.

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Published

2025-07-30

How to Cite

Muath Rebdi AlRebdi, Sultan Khalid AlQahtani. (2025). Cybersecurity Threat Intelligence Frameworks in Healthcare Data Systems. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 4(3), 44–52. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/209

Issue

Vol. 4 No. 3 (2025): Volume 4 Issue 3 (July-September 2025)

Section

Articles

License

Copyright (c) 2025 International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.