The support of artificial intelligence (AI)/machine learning (ML), data science, and automation in cybersecurity are introduced in this paper, respectively. Their specific methods or tools in cybersecurity are discussed. The applications of AI/ML, data science, and automation in healthcare cybersecurity are presented as case studies, respectively. Both defenders and cyber criminals have access to AI/ML, data science, and automation. There are challenges in practicing robust cybersecurity. It is significant to maintain strict cybersecurity policies and use advanced or updated technologies for the detection, prevention, or mitigation of cyberattacks and cyber incidents. Healthcare depends on cybersecurity to keep personal health information (PHI) safe because healthcare data is either in motion or at rest. Cybersecurity in healthcare then becomes a primary concern to meet HIPAA standards and hospital standards. Healthcare information travels more often than ever before as providers are using mobile devices, telemedicine, and mobile imaging and diagnostics.
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Cheryl Ann Alexander (2024) studied this question.
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