Cloud Workload Discovery, initially declared in July 2016, secured Amazon Web Services (AWS) and Microsoft Azure. Cloud Workload Discovery for the crossed cloud, accessible on December 15, 2016, extends the reach to the private fogs of VMware and OpenStack.

As the half and half of the server farm is extended, finding the hidden sides remains increasingly difficult. The associations struggle to study their security from end to end pose for workloads and stages, screens and ensure workloads on all the mists and maintain administrative consistency.

Cloud Workload Discovery for cross-rovers provides perceptible visibility from end to end in all workloads and their basic stages to make borderless cloud security a reality. With deep perceptibility, evaluation and correction for the record, storage and system as it appears in the graph below, associations can act of security (workloads and stages), control and ensure workloads on all private and open fogs and maintain the rhythm of administrative consistency

How Cloud Workload Discovery works

Cloud Workload Discovery for hvbrid cloud offers three main capabilities:

Discovery of weak security controls for VMware, OpenStack, AWS and Microsoft Azure
Security audit of the platform, which includes firewall and encryption settings, for AWS and Microsoft Azure Visibility of traffic and network threats to AWS.

These ideas allow faster detection while McAfee® ePolicy Orchestrator® (McAfee ePOTM) or DevOps tools such as Chef, Puppet and OpsWorks allow a quick solution.

The integration of Cloud Workload Discovery with McAfee ePO, a single management platform with simplified workflows, provides organizations with effective control to help implement security solutions in physical, virtual and cloud environments. Because Cloud Workload Discovery has no agents and is powered by API integration with cloud providers, security administrators simply enter their cloud account credentials in McAfee ePO to discover workloads, send threat alerts and apply policies. . Rapid optimization time and a low learning curve mean you can significantly improve the security of your workload in the cloud with the minimal involvement of your IT security team.