Many organizations struggle to implement network segmentation and secure network enclaves for servers, industrial controls, SCADA or regulated data. MicroSolved, Inc. (“MSI”) has been helping clients solve information security challenges for nearly twenty-five years on a global scale. In helping our clients segment their networks and protect their traffic flows, we identified a better approach to solving this often untenable problem.
That approach, called MachineTruth™, leverages our proprietary machine learning and data analytics platform to support our industry leading team of experts throughout the process. Our team leverages offline analysis of configuration files, net flow and traffic patterns to simplify the challenge. Instead of manual review by teams of network and systems administrators, MachineTruth takes automated deep dives into the data to provide real insights into how to segment, where to segment, what filtering rules need to be established and how those rules are functioning as they come online.
Our experts then work with your network and security teams, or one of our select MachineTruth Implementation Partners, to guide them through the process of installing and configuring filtering devices, detection tools and applications needed to support the segmentation changes. As the enclaves start to take shape, ongoing oversight is performed by the MSI team, via continual analytics and modeling throughout the segmentation effort. As the data analysis and implementation processes proceed, the controls and rules are optimized and transitioned to steady state maintenance.
Lastly, the MSI team works with the segmentation stakeholders to document, socialize and transfer knowledge to those who will manage and support the newly segmented network and its various enclaves for the long term. This last step is critical to ensuring that the network changes and segmentation initiatives remain in place in the future.
This data-focused, machine learning-based approach enables segmentation for even the most complex of environments. It has been used to successfully save hundreds of man-years of labor and millions of dollars in overhead costs. It has reduced the time to segment international networks from years to months, while significantly raising the quality and security of the new environments. It has accomplished these feats, all while reducing network downtime, outages and potentially dangerous misconfiguration issues.
If your organization is considering or in the process of performing network segmentation for your critical data, you should take a look at the MachineTruth approach from MSI. It could mean the difference between success and struggle for this critical initiative.