A multi-cloud environment is created by combining many public and private clouds. In order to avoid vendor blockage, there are several cloud services that may cooperate and communicate with one another. Security and privacy of multi-cloud data are key concerns in cloud computing. Concerns about security and privacy abound since cloud service providers have access to sensitive data. In several areas, including banking and government, cloud computing adoption has been limited by this concern. To prevent cloud service providers from directly accessing the user's data, an intelligent cryptography solution is proposed in this study. According to the suggested strategy, sensitive material is divided into distinct files and stored on cloud servers based on relevance. To classify a file as sensitive or non-sensitive, the user selects the appropriate checkboxes. Virtual machines (VMs) are utilized to store sensitive information, and a single virtual machine (VM) is allocated to non-sensitive files. Elliptic Curve Integrated encryption Scheme (ECIES) is used to encrypt the data before uploading them to a cloud server. According to this research, ECIES cryptography can prevent cloud service providers from accessing customers' private information. The results of our trials reveal that our method is capable of fighting against the most frequent cloud-based attacks while still using a fair amount of processing time.