Date Published: October 27, 2021
Comments Due:
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Author(s)
Michael Bartock (NIST), Murugiah Souppaya (NIST), Donna Dodson (NIST), Daniel Carroll (Dell/EMC), Robert Masten (Dell/EMC), Gina Scinta (Gemalto), Paul Massis (Gemalto), Hemma Prafullchandra (HyTrust), Jason Malnar (HyTrust), Harmeet Singh (IBM), Rajeev Ghandi (IBM), Laura Storey (IBM), Raghuram Yeluri (Intel), Tim Shea (RSA), Michael Dalton (RSA), Rocky Weber (RSA), Karen Scarfone (Scarfone Cybersecurity), Carlos Phoenix (VMware), Anthony Dukes (VMware), Jeff Haskins (VMware), Brenda Swarts (VMware)
Announcement
The National Cybersecurity Center of Excellence (NCCoE) has released three new draft reports on hardware-enabled security and trusted cloud for public comment. The foundation of any cloud data center or edge computing security strategy should be securing the platform on which data and workloads will be executed and accessed. The physical platform provides the initial protections to help ensure that higher-layer security controls can be trusted.
The three new draft reports are:
- 2nd Draft NIST Internal Report (IR) 8320, Hardware-Enabled Security: Enabling a Layered Approach to Platform Security for Cloud and Edge Computing Use Cases, examines hardware-enabled security techniques and technologies that can improve platform security and data protection for cloud data centers and edge computing.
- Draft NIST IR 8320B, Hardware-Enabled Security: Policy-Based Governance in Trusted Container Platforms, explains an approach for safeguarding container deployments in multi-tenant cloud environments, as well as a prototype implementation of the approach.
- Draft NIST Special Publication (SP) 1800-19, Trusted Cloud: Security Practice Guide for VMware Hybrid Cloud Infrastructure as a Service (IaaS) Environments, describes an example solution for using trusted compute pools leveraging hardware roots of trust to monitor, track, apply, and enforce security and privacy policies on cloud workloads.
The public comment period for these drafts is open through December 6, 2021. See each of the publication details for copies of the drafts and instructions for submitting comments.
NOTE: A call for patent claims is included on page iii of this draft. For additional information, see the Information Technology Laboratory (ITL) Patent Policy--Inclusion of Patents in ITL Publications.
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 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 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
cloud technology; compliance; cybersecurity; privacy; ; trusted compute pools
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