Streamlining Compliance and Governance with AI in Cloud-based Programs

Abstract

Cloud-based programs offer numerous advantages to businesses and governments, including cost reduction, scalability, and on-demand services. Software as a Service (SaaS) is a prominent cloud computing model, providing potential cost-savings and improved cost control. Cloud-based programs enable efficient resource provisioning, auto-scaling, and dynamic resource acquisition and release, leading to increased profitability and reduced reliance on on-site IT infrastructure. However, adopting cloud-based programs comes with challenges related to security and compliance. This article explores the advantages and differences of cloud-based programs compared to traditional software. It highlights the benefits of using AI in cloud-based programs to improve governance and compliance by streamlining processes and automating tasks. AI can enhance energy efficiency in cloud-based programs and significantly contribute to cost savings. However, it also introduces potential security risks and the need for robust security solutions to protect data in cloud-based eHealth systems. The article emphasizes best practices for ensuring security in cloud-based programs, such as role-based access, encryption, and data monitoring. It discusses the potential risks of using AI for security and the importance of developing governance practices specific to AI applications. Moreover, it explores the benefits of AI for compliance and governance in cloud-based programs, such as risk management, scalability, and improved efficiency. The article underscores the long-term benefits of using AI in compliance and governance, including the enhancement of corporate governance and expertise in AI risks over time. In conclusion, cloud-based programs coupled with AI present opportunities to revolutionize various industries by providing cost-effective, scalable, and secure solutions for compliance and governance needs. However, adopting AI in these programs requires careful consideration of security measures and adherence to specific AI governance practices to ensure the responsible and beneficial deployment of AI technologies.