New Server Security Release Makes Borderless Cloud Security a Reality

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Cloud Workload Discovery, initially declared in July 2016, secured Amazon Web Services (AWS) and Microsoft Azure. Cloud Workload Discovery for crossover cloud, accessible on December 15, 2016 stretches out scope to VMware and OpenStack private mists.

As the half and half server farm extends, finding the blind sides continues getting harder. Associations battle to survey their end-to-end security pose for workloads and stages, screen and ensure workloads over all mists and keep up administrative consistence.

Cloud Workload Discovery for crossover mists gives end-to-end perceivability into all workloads and their basic stages to make borderless cloud security a reality. With profound perceivability, appraisal and remediation for register, stockpiling, and system as appeared in the chart underneath, associations can evaluate end-to-end security act (workloads and stages), screen and ensure workloads over all private and open mists and keep up administrative consistence.

How Cloud Workload Discovery Works

Cloud Workload Discovery for hvbrid cloud provides three main capabilities:

  • Discovery of weak security controls for VMware, OpenStack, AWS and Microsoft Azure
  • Platform security audit, including firewall and encryption settings, for AWS and Microsoft Azure
  • Traffic and network threat visibility for AWS.

These insights lead to faster detection while while McAfee® ePolicy Orchestrator® (McAfee ePOTM)  or DevOps tools such as Chef, Puppet, and OpsWorks enable quick remediation.

 

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Cloud Workload Discovery’s integration with McAfee ePO, a single management platform with simplified workflows, gives organizations effective control to help implement security solutions across physical, virtual and cloud environments.  Since Cloud Workload Discovery is agentless and powered by API integration with cloud providers, security administrators just enter their cloud account credentials in McAfee ePO to instantly discover workloads, address threat alerts and enforce policies.   Quick time to value and a low learning curve mean that you can significantly improve your cloud workload security with minimal involvement from your IT Security team.

3 Comments

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