Machine learning aids in risk analysis, identification, pattern recognition, data problem identification, predicting outcomes, and creating reports, which helps in decision-making. Regarding predicting risks in software development on learning management systems (LMS), the design and requirements phase are among the most defining stages. Considering the stages of the system development, life cycle, security, and privacy policies are of utmost importance during system design and implementation. These policies protect sensitive information, foster user trust in system reliance, and improve system trustworthiness. This paper aids in coming up with effective best practices by considering the approach taken on using machine learning risk management prediction in LMS software solutions. These best practices enhance secure and reliable LMS solutions. The paper also discusses some approaches that machine learning aids in the analysis of risk identification, comparison, and forecasting with the aim of managing the determined risks.