MixMode is a cybersecurity anomaly detection platform that combines the functionality of SIEM, NDR, NTA and UEBA in a single purpose built platform for the modern SOC. MixMode is focused on solving three primary issues for the Security Operations Center: providing next-generation threat and anomaly detection, surfacing zero-day attacks and improving false-positive alert fatigue. MixMode allows security teams to dramatically increase productivity and efficiency while significantly decreasing the wasted time, effort, and resources associated with legacy cybersecurity tools. The platform is equipped patented self-learning unsupervised AI that is uniquely adaptable to the environment it monitors, can evolve on its own, and predict what’s coming before it happens. This advanced AI requires zero written rules to function and removes the need for constant human oversight of the AI and enables faster and more accurate detections, ultimately reducing cost and improving SOC efficiency. MixMode’s AI intelligently creates and updates the network baseline, then provides security teams with sophisticated functionality like zero-day no signature attack identification, predictive threat detection, 95% false-positive alert reduction, and all the tools necessary to investigate a threat. SOC teams can easily integrate MixMode into their security stack to dramatically reduce the investigation time, cost, and expertise required to respond to persistent threats, malware, insider attacks, and nation-state espionage efforts. MixMode’s core AI algorithm is patented and was utilized over the past 20 years on projects for DARPA and the DoD.