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Visium Technologies, is making TruContext (enhanced CyGraph) available to commercial customers for the first time. CyGraph was developed by MITRE Corporation. CyGraph is a comprehensive, scalable, high performance system for analyzing network attack relationships to provide actionable information. CyGraph is currently widely used within the Federal government to secure our country`s networks.
Network Technology Inc is a Millington, TN-based company in the Computers and Electronics sector.
End Hunger Network is a Santa Monica, CA-based company in the Computers and Electronics sector.
VMRay is focused on a single mission: to help enterprises protect themselves against the growing global malware threat. The company`s automated malware analysis and detection solutions help enterprises around the world minimize business risk, protect their valuable data and safeguard their brand. VMRay`s founders, Dr. Carsten Willems and Dr. Ralf Hund, were early pioneers in malware sandboxing, developing breakthrough technologies that continue to lead the industry. They founded VMRay to transform their research into practical solutions for making the online world a safer place.
SignalSense exists to increase the fidelity of security alerts and expand on what can be detected in enterprise networks. The challenges facing those responsible for securing networks have increased exponentially in the last few years -- both from the sophistication of the threats seen, the explosion of agile development and the distribution of applications across varied environments. This is further compounded by the move to public cloud environments, where traditional inspection methods don’t exist. The challenges of delivering high fidelity security visibility into these environments will require new types of security tools that are just now being developed. Machine learning and neural networks, combined with new scalable methods of data collection and processing will provide the opportunity to keep up with the pace of growth in these new agile environments. The foundation of the SignalSense approach is an investment in data science that leverages a variety of machine learning methods, including deep learning, and GPU capacity to classify, characterize and profile network traffic. This enhances detection of threat and compromise, saving valuable investigation time for network security operators.