Securing Cloud Workloads with Confidential Computing and Secure Enclaves
Abstract
Confidential computing is emerging as a critical solution for protecting sensitive workloads in cloud environments. This paper explores the use of secure enclaves, which provide hardware-based isolation for sensitive code and data during processing. The proposed solution integrates secure enclaves with containerized cloud workloads, ensuring that data remains encrypted even during execution. The paper evaluates the performance impact and security benefits of this approach using real-world cloud applications. Results indicate that secure enclaves significantly enhance data confidentiality and integrity without introducing significant overhead. The study concludes that confidential computing represents a promising direction for securing sensitive cloud workloads in multi-tenant environments.
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