Government organizations’ Security Operations Centers (SOC) and Network Operations Centers (NOC) teams are drowning in tools – perhaps dozens, even hundreds – which are designed to monitor various systems, applications, and other parts of the IT enterprise environment. However, these tools often fail to “talk” to each other to share key data in the interest of better predicting, correlating, and resolving events such as cyber threats and service disruptions – events that result in data loss, user experience issues, productivity breakdowns and the failure to perform needed day-to-day tasks and/or meet long-term, strategic mission objectives. Subsequently, federal agencies employ scores of SOC/NOC specialists who “stay within their silos,” focused strictly on their own, individual monitoring solutions with no cross-correlating and analysis of the data produced by the tools – instead of developing processes which incorporate automation, machine learning and analytics to maximize the predictive value of the tools as a collective whole, to gain enterprise-wide IT visibility.
At NetCentrics, we believe that AIOps is all about enterprise performance management (i.e., monitoring, analyzing, and instantly acting on data via end-to-end situational awareness and absolute command and control of network resources). It is about establishing a “single pane of glass” view of your entire infrastructure so data from every tool is ingested, correlated, and analyzed to generate quantitative outputs that tell us how to improve. It is about launching advanced automation, machine learning and analytics which inform proactive event management while reducing response times, to protect networks, systems, and devices while ensuring optimal user experiences. It is about acquiring a true understanding of potential cyber attacks, help desk ticket spikes, and other SOC/NOC events, so teams and machines do more than just identify root causes they resolve events proactively.
The machine element cannot be understated. As AI innovation takes hold throughout organizations worldwide – dramatically expanding capabilities to accurately and swiftly detect incidents, and then respond – agencies cannot be left behind. Ultimately, NetCentrics AIOps elevates monitoring and data correlation/analytics to a level at which events are treated one in the same: Whether there is an influx of service desk tickets, an isolated incident, a service affecting an enterprise, or a critical business application that appears degraded, NetCentrics’ AIOps drives toward the core using root cause analysis and actionable intelligence that tells teams what action to take based on lessons learned, mature processes, and recommendations through AIOps in its entirety. Using machine learning and automation to the maximum extent practicable, we are able to address an event without involving human interaction – and resolve potential events before they become actual events. Our AIOps services and solutions will increasingly enable machines to make these decisions and take appropriate action, further reducing IT staffing costs for agencies.