Research
We research for solutions at the cross-sections of complex computing systems and human cognitive intelligence that mitigate security threats. This requires a deep dive into data analytics to determine the root causes of incidents and vulnerabilities on computing platforms. Our goal is to enable operators to identify and mitigate problems efficiently with support from training agents.
Machine Learning
We leverage brain science research to design a framework that uses machine learning modeling to ensure accuracy and determination of incident response. Operators should have confidence in their actions and decision-making which often is done in seconds. Our goal is to apply a symbiosis solutions whereby human performance remains relevant to threat prevention.
Artificial Intelligence
As data scientists, cognitive researchers, and software engineers with a niche interest in enhancing human performance to manage Security Incident and Event Management (SIEM) environments, we believe that human intelligence is the superior and critical element to decision-making in complex problem situations.
The human brain consists of about 86 billion neurons. These neurons send electrical signals between one another capturing, processing, and storing information to form new connections. Each time the brain learns something new it influences behavior. We analyze these brainwaves to guide our design methods to develop meaningful operational tools.
