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Harco Technolgy Ltd is a Saint Paul, MN-based company in the Computers and Electronics sector.
Global Networks Inc is a Odenton, MD-based company in the Computers and Electronics sector.
Health-ISAC (Health Information Sharing and Analysis Center), is a global, non-profit, member-driven organization where health sector stakeholders join a trusted community and forum for coordinating, collaborating and sharing vital Physical and Cyber Threat Intelligence and best practices with each other. Members use this information to extend their security operations team and to create situational awareness, inform risk-based decision-making and mitigate against threats. Membership is open to public & private hospitals, ambulatory providers, health insurance payers, pharmaceutical/biotech manufacturers, laboratory, diagnostic, medical device manufacturers, medical schools, medical R&D organizations and other relevant health sector stakeholders. Member organizations become more resilient by working together, benefiting the entire health sector and its vital role in critical infrastructure worldwide.
Blue Cedar Networks was founded on the principle that the app is the optimal control endpoint for the modern organization. The Atlas platform provides our customers with the most secure, scalable, and user-friendly capabilities to safely and seamlessly connect and protect their enterprise apps across the extended enterprise — the user population comprised of employees and non-employees that can drive or derive value from those apps and data. Blue Cedar Networks has over 150 customers spanning every major industry vertical, including some of the largest financial services, wireless and telecommunications, CPG, manufacturing, healthcare, and government organizations in the world.
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.