Automation, in conjunction with Splunk and SIEM 2.84, gives you the best visibility into your enterprise.

You can fix something without knowing why it broke. But the more complex the break, the more likely it will fail again. So, when dealing with something as complex and critical as cybersecurity, you need to know where the vulnerability began to create a reliable fix.

Security, Information, and Event Management (SIEM) data comes from the union of human and machine data, creating a real-time analysis of data and events through dashviews and other means. SteelCloud’s ConfigOS compliance automation solution, for example, enables SIEM 2.84 through Splunk, offering  complete and  real-time visibility into your enterprise architecture and network activity, empowering you to respond quicker and more effectively.

Having the best automation tool, utilizing the Splunk platform offers the most powerful SIEM visibility and analysis, speeding troubleshooting, enhancing root cause analysis, and adding an artificial intelligence (AI) aspect to SIEM data that improves detection and mitigation. Read on to see how we are using automation to optimize DISA hardening compliance with STIG/CIS benchmarks and improve security policy and police security controls.

Using SIEM to identify human process failure

So a vulnerability has been found and breached. To effectively remediate the issue, you must manually drill down into the data and determine the root cause. The chances are good that, as things exist today, the data you need to analyze is either only partially entered or not synchronized. Your eMASS data and SIEM data don’t match, and nothing matches your checklists, logs, or other sources. Now, imagine the time, money, and human resources needed to sort through all that to find a root cause. Meanwhile, whatever the root cause is, it is allowed to go unchecked.

The better steward you are to your data—the more it is synchronized, present, and continuously monitored—the better able you will be to remediate the issue and the instance to keep it from happening again.. Leveraging automation, you can optimize security operations, speed investigation, reduce complexity, and respond to threats faster.

Using SIEM as a platform for data integration

The new release of ConfigOS features SIEM 2.84 capabilities, creating bulk STIG Viewer checklists and integrating human and machine controls into data feeds for eMASS and Splunk integration. With data presented through ConfigOS DashView, this integration dramatically reduces the time spent monitoring, detecting, and maintaining your enterprise’s DISA STIG/CIS Benchmark infrastructure hardening compliance.

Getting compliant is difficult but maintaining that compliance posture is even more difficult. ConfigOS DashView leverages Splunk’s “Big Data” platforms to automate these processes and provide the organization with near real-time awareness. SteelCloud’s ConfigOS hardens an endpoint’s unique application stack per the DISA STIG/CIS benchmark policy standards for visibility into a configuration system’s drift. As a result, ConfigOS reduces the effort to harden an endpoint by 90% and remediate and maintain an endpoint by 70%.

Using SIEM to do intelligence learning

All your human and machine data are mined and analyzed using either Slunk or Elastic. With log and event data shown in real-time, you can see what’s going on or if there is a current threat. Now you have more value based on your data analytics. You also have more data, enabling deeper insights.

ConfigOS software creates bulk STIG Viewer checklists and integrates human, and machine controls into data feeds for eMASS and Splunk. Reimagine the cumbersome effort necessary to complete and load STIG Viewer Checklist data into eMASS and automate the integration of documentation, manual, and control exceptions with machine controls to create fully populated Checklists in bulk. SteelCloud’s ConfigOS software automates the production of thousands of completed checklists, for an entire infrastructure, with only a few keystrokes.

 Transparency is the best policy

AI models are complex, and transparency into how machine intelligence makes decisions and takes action is becoming increasingly critical, especially when operating within the government’s Risk Management Framework (RMF).

For example, AI models now help us drive more safely through real-time alerts—or, in some cases, drive for us. AI is being incorporated into medical research and treatment plans. It is becoming a more significant part of our lives.

With this level of complexity, it can be difficult to decipher when systems don’t operate with expected outcomes. So, you need all the help you can get. ConfigOS, in conjunction with Splunk and SIEM 2.84, gives you the best visibility into your enterprise—and your best opportunity to thwart potential attacks. ConfigOS accelerates RMF with automated bulk checklist production on eMASS and Splunk Data integration.