Machine learning

CyBourn’s DreamLab continually researches new patterns and develops ML algorithms to accurately detect anomalies. The algorithms are embedded in CyBourn’s monitoring infrastructure and analyses raw data to form an evolving understanding of ‘normal’ for every user, device, and subnet within an organization. CyBourn’s focus is in detecting fraud, intellectual property theft, advanced persistent threats and coordinated attacks.

Algorithm design process For Machine learning

CyBourn builds and implements case-specific algorithms, with the scope of detecting 0-day threats and complex, targeted attacks.

Want to leverage the power of human-machine collaboration to limit cybersecurity incidents impact?