| Name | Title | Contact Details |
|---|
Compuquest, Inc. is a Carol Stream, IL-based company in the Computers and Electronics sector.
Sonitrol Pacific is a Portland, OR-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.
Zimperium offers enterprise class protection for mobile devices against the next generation of advanced mobile attacks. Zimperium is the first and only company to provide a complete mobile security system that continuously runs on the device to provide visibility, security and management for iOS and Android devices. With its non-intrusive approach, users can be confident that their data and their privacy are protected at all times, both on and off the corporate network. Finally, a mobile security system that solves the unique challenges of securing a mobile device without draining the battery or relying on an Internet connection.
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.