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SSI (SURVEILLANCE SYSTEMS INTEGRATION) is a Rocklin, CA-based company in the Computers and Electronics sector.
North American Cable Equipment Inc is a West Chester, PA-based company in the Computers and Electronics sector.
Lookingglass is a pioneer delivering over-the-horizon (OTH) cyber visibility through a revolutionary Cyber Threat Intelligence Monitoring and Management platform. The Lookingglass product suite offers innovative solutions that deliver deep visibility into the Internet threat landscape. Lookingglass’ flagship products, ScoutVision and CloudScout, contextualize global cyber intelligence, enabling users to efficiently identify emerging threats within the context of their enterprises. These solutions offer alert and warning capabilities that empower customers to continuously monitor for over-the-horizon threats from outside a client’s network and control, such as the presence of botnets, hosts associated with cyber criminal networks, unexpected route changes and the loss of network resiliency. Lookingglass’ outside-in approach accounts for a client’s entire enterprise cyber ecosystem including the extended enterprise, and other networks beyond their control. This cyber situational awareness and oversight ensures business partners or service providers are not the proximate cause of security breaches or data loss.
Worksafe Technologies is a Los Gatos, CA-based company in the Computers and Electronics sector.
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.