Date Published: April 2020
Comments Due:
Email Questions to:
Planning Note (04/13/2020):
4/13/20 - 5/11/20: Comment Period for Volume C: How-to Guides [Prelim. Draft 1] This preliminary draft is stable but has some gaps in its content that will be addressed in the next draft.
Author(s)
Michael Bartock (NIST), Karen Scarfone (NIST), Murugiah Souppaya (NIST), Harmeet Singh (IBM), Rajeev Ghandi (IBM), Laura Storey (IBM), Anthony Dukes (VMware), Jeff Haskins (VMware), Carlos Phoenix (VMware), Brenda Swarts (VMware)
Announcement
The National Cybersecurity Center of Excellence (NCCoE) at NIST recognizes the need to address security and privacy challenges for the use of shared cloud services in hybrid cloud architectures, and has launched this project. This project is using commercially available technologies to develop a cybersecurity reference design that can be implemented to increase security and privacy for cloud workloads on hybrid cloud platforms.
This project will demonstrate how the implementation and use of trusted compute pools not only will provide assurance that workloads in the cloud are running on trusted hardware and are in a trusted geolocation, but also will improve the protections for the data within workloads and flowing between workloads. This project will result in a NIST Cybersecurity Practice Guide - a publicly available description of the solution and practical steps needed to implement a cybersecurity reference design that addresses this challenge.
A cloud workload is an abstraction of the actual instance of a functional application that is virtualized or containerized to include compute, storage, and network resources. Organizations need to be able to monitor, track, apply, and enforce their security and privacy policies on their cloud workloads, based on business requirements, in a consistent, repeatable, and automated way. The goal of this project is to develop a trusted cloud solution that will demonstrate how trusted compute pools leveraging hardware roots of trust can provide the necessary security capabilities. These capabilities not only provide assurance that cloud workloads are running on trusted hardware and in a trusted geolocation or logical boundary, but also improve the protections for the data in the workloads and in the data flows between workloads. The example solution leverages modern commercial off-the-shelf technology and cloud services to address a particular use case scenario: lifting and shifting a typical multi-tier application between an organization-controlled private cloud and a hybrid/public cloud over the internet.
A cloud workload is an abstraction of the actual instance of a functional application that is virtualized or containerized to include compute, storage, and network resources. Organizations need to be able to monitor, track, apply, and enforce their security and privacy policies on their cloud...
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A cloud workload is an abstraction of the actual instance of a functional application that is virtualized or containerized to include compute, storage, and network resources. Organizations need to be able to monitor, track, apply, and enforce their security and privacy policies on their cloud workloads, based on business requirements, in a consistent, repeatable, and automated way. The goal of this project is to develop a trusted cloud solution that will demonstrate how trusted compute pools leveraging hardware roots of trust can provide the necessary security capabilities. These capabilities not only provide assurance that cloud workloads are running on trusted hardware and in a trusted geolocation or logical boundary, but also improve the protections for the data in the workloads and in the data flows between workloads. The example solution leverages modern commercial off-the-shelf technology and cloud services to address a particular use case scenario: lifting and shifting a typical multi-tier application between an organization-controlled private cloud and a hybrid/public cloud over the internet.
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Keywords
cybersecurity; compliance; privacy; cloud technology; trusted compute pools
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