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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.
IVO Networks is a San Mateo, CA-based company in the Computers and Electronics sector.
SolPass, based in Denver, is the developer of an innovative hardware and software identity verification solution that is designed to build a chain of trust from the individual user to the server. Using biometrics, SolPass assures that only authorized users of the system are given access. SolPass implements a rights management system that prevents further unauthorized access. By focusing on the prevention of cyber crime and data breaches, SolPass has introduced a new perspective on cyber security.
Parkinson's Action Network is a Washington, DC-based company in the Computers and Electronics sector.
Transportation Network is a Tewksbury, MA-based company in the Computers and Electronics sector.