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Fast, Secure Cloud Infrastructure

Protecting Machine Identities in the Cloud

We’re no longer in a race to move applications and services to the cloud. Our machines are in the cloud. According to Flexera's State of the Cloud Report for 2020:    

  • More than 50 percent of enterprise workloads are already in public clouds    

  • 93 percent of enterprises have a multi-cloud strategy    

  • Organizations use an average of 2.2 public and 2.2 private clouds   

But protecting these cloud-borne machine identities is still the responsibility of the InfoSec teams, application teams and developers behind the applications and services. InfoSec teams fast, secure creation of cloud infrastructure that doesn’t overlook machine identity risks.     

Hybrid Cloud is the Winner

There are multiple ways to design and deliver cloud environments, and all have critical dependencies on machine identities.

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Private Cloud

A cloud-enabled IT infrastructure running in a corporate datacenter or privately hosted by a third-party service provider. Behaves like cloud infrastructure but owned and managed by one organization. 

public cloud
Public Cloud

Infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) offerings from third-party cloud service providers. Examples of these include Amazon Web Services(AWS), Microsoft Azure, and Google Cloud Platform.

Hybrid Cloud

A combination of private and public cloud environments, with some level of interoperability between them. Hybrid cloud models increasingly include more than oneeach of public, private or on-prem models. 


An IT environment that uses multiple public cloud services, with some level of interoperability between them. An example might be an environment that has workloads in AWS as well as in Google Cloud Platform.

According to the Nutanix Enterprise Cloud Index for 2019, 85% of enterprises rank Hybrid Cloud as the “ideal” IT operating model. The hybrid cloud model ranks this highly because of itsflexibility, with the ability to accommodate workloads in a variety of places and forms,depending on business needs, and on its security, which InfoSec professionals consider twice as secure as traditional data center models.  

What Does This Mean for InfoSec?

Hybrid cloud drives expansion of application and services. As the number of cloud workloads increases – along with the virtual, physical or temporary “machines” that support them – so does our need to securely authenticate them. To do that, cloud workloads need identities and you need the means to protect those identities. But InfoSec teams have critical challenges inprotecting these machine identities. 

OutagePREDICT discovers unknown certificates across your cloud environments and alerts you before they expire or fail

Visibility, Intelligence and Automation for Cloud Workloads

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Who’s Responsible? AWS

We often assume our cloud platform providers – whether AWS, Azure or Google Cloud Platform – will establish or maintain secure machine identities in our cloud workloads. For AWS, theshared responsibility model clearly lists client-side encryption, server-side encryption and network encryption as the responsibility of the customer. This often means management of TLS keys and certificates.  

Who’s Responsible? Google Cloud Platform

GCP’s shared responsibility model shows that customers are responsible for “technologies such as SSH, VPN, or TLS” in any machines deployed in GCP, as well as the creation and use of “strong cryptographic keys.” 

And while each cloud platform may have a mechanism to provide TLS connections, hybrid or multicloud models require InfoSec teams to have visibility and control across multiple models and multiple mechanisms at all times. Venafi provides the common control layer. 

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