Massive data losses, credit card breaches, identity theft and other similar events have affected even the biggest companies worldwide, leading to the development of an extraordinary set of security tools and technologies. With so many options available, even for SMEs it is becoming more and more complex to focus on the basic cybersecurity activities.
Our DreaML Cyber Security Toolkit is aimed at helping companies getting out of this “Fog of More” syndrome, concentrating on the fundamental cybersecurity threats, and learning to beat them. Each component of the toolkit focuses on a well-vetted and supported aspect of cybersecurity, which can be leveraged by businesses of any size to improve their current security state.
All of the components in the DreaML Toolkit are powered by one or more of the case-specific ML-based algorithms developed by our DreamLab, with the scope of detecting 0-day threats and complex, targeted attacks. Some example use cases:
CyBourn’s DreamLab continually researches new patterns and develops ML algorithms to accurately detect anomalies. The algorithms are embedded in our monitoring infrastructure and analyze 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.
CyBourn builds and implements case-specific algorithms, with the scope of detecting 0-day threats and complex, and targeted attacks.
CyBourn’s DreamLab team is working with AR and VR technology to design the next-generation Incident Response war room.
CyBourn’s vision is to design a collaborative space where security analysts, incident responders and forensic investigators can collaborate during an incident, regardless of the physical locations of various individuals.
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