Journal of Artificial Intelligence & Cloud Computing

Cloud computing has become popular in healthcare over the past few years, where patients’ data can be accessed remotely, consultations are held, and reports are shared in real-time. However, this shift poses equally social security and HIPAA compliance concerns, which are very complex. To achieve HIPAA compliance in a cloud environment and properly enhance the security of your cloud environment, one has to adapt the state-of-the-art to automation. AI and DevOps have invaluable opportunities to apply new approaches to secure cloud computing from threats, including unauthorized access, data theft, and compliance concerns. The use of AI in security technologies improves the chance of threat identification through algorithms, helps in the appraisal of compliance and provides self-effacing measures that adapt to security breaches on an as-needed basis.

On the other hand, DevSecOps is a further advancement of DevOps, where security stays an active and integral procedure from the conforming phase up to an Infrastructure as Code (IaC), automated, and access control standard. In this paper, the use of AI and DevOps in cloud computing in health facilities to give the best results, mainly when it comes to security, implementation plans, and the costs involved, are discussed. Some of the subjects and issues covered include false positives in artificial intelligence threat detection, integration issues, and the skills gap in artificial intelligence security. Last, new trends like blockchain to enhance data or records integrity and the zero-trust security model are coming. Applying AI and DevOps practices can help healthcare organizations keep their security at high levels, meet HIPAA requirements and create efficient cloud security automation.