The rapid adoption of multi-cloud technology throughout the world has resulted in serious security problems, particularly when transferring data between single and multi-cloud settings. The absence of standardized security framework for multi-cloud migrations increased vulnerability as a result of expanded attack surfaces, and scattered security measures across various cloud providers. These restrictions are made considerably more challenging with the requirement to balance cost reduction, performance effectiveness, and robust security implementation. In this paper a defined security framework is introduced to unify data protection methods across data layers and provide a guidance to reduce security risks. (SF-SMCM) will address four main layers of data transfer process which are data preparation, security, migration and cost-performance optimization. Security approaches within each layer is analyzed for the effect it has on data overhead and results are obtained for bandwidth efficiency and transfer time. In particular, a comparative analysis between the transfer time for data without applying security algorithms and data with encryption and hashing algorithms applied is performed. Results obtained shows that transfer time is higher when data is encrypted. Cost will be obtained and compared for Amazon AWS and Google cloud using the pricing calculator for Cloud Backup service. Secured data was found to be higher in price through the two cloud service providers due to higher data growth rate.