Implementation of artificial intelligence (AI) into healthcare systems might totally change operational efficiency, diagnosis, and patient treatment. Still, this development has some challenges and possible risks, particularly in the sphere of healthcare security. Emphasizing important issues including regulatory adherence, data confidentiality, and ethical quandaries, this chapter explores the complex landscape of implementing AI-powered healthcare security solutions. The often-shifting regulations and standards make achieving regulatory compliance in healthcare data and AI applications a continual difficulty. Given the private nature of medical data and the rising danger of cyber-attacks, safeguarding data privacy is very vital. Furthermore, raising ethical questions raises probable biases in AI systems and the need for openness in decision-making driven by artificial intelligence. We propose to use a set of strategies, including strong regulatory conformance, advanced data encryption techniques, and the development of ethical guidelines for the application of artificial intelligence in healthcare, to solve these issues and lower the associated dangers. Addressing these issues early on would help to properly use AI in healthcare and guarantee patient confidence and security.