Cognitive Analytics
Managing security incidents is a continuous cycle. It requires endless planning, monitoring, decision-making, and follow-up. We strive to keep operator performance at the forefront of improvement. For this reason, we concentrate on securing effective situation awareness within security operation centers. This approach requires a quantitative assessment of the human afferent sensory data to construct cognitive analysis that projects key objectives. We also pay attention to qualitative descriptions by exploring context data semantics within domain environment.
Security Operations
Our goal is to develop and maintain high-performing security operations. Neural signals can provide information about human performance capacity during system interaction. The cognitive workload of Security Operation Centers (SOC) can be overwhelming. Due to high-stress levels, operator situation awareness typically results in monitoring errors. By analyzing EEG data and gathering neural feedback, we can develop support models to synchronize human performance.