Intersection of AI and Cybersecurity: Protecting Healthcare Data in a Connected World

Abstract

The release of Artificial Intelligence in healthcare cybersecurity is innovative as it safeguards the patient’s data, recognizes threats while its occurrence and address cyber threats. However, its adoption raises concern with the following issues and concerns relating to data privacy, the law and ethics. In the following review, the different ways that AI enhances healthcare cybersecurity threat enumeration, data safeguarding, and reaction are examined. The principles of HIPAA and GDPR as well as the remaining principles concerning legislative requirements are also introduced in order to establish the knowledge on how healthcare organizations are required to keep with the rules of privacy and security of data. Some of the ethical concerns which arise when it comes to the issue of use of artificial intelligence in a healthcare organization include; In addition, the review outlines emerging AI solutions two of which are efficient but safeguard privacy preservation methods which are federated learning and differential privacy. Thus while relying on growth potential of AI in the enhancement of health sector cybersecurity: The implementation should be done carefully to respect patients’ rights and privacy, Shield laws and ethical standards.

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