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ThreatConnect enables security operations and threat intelligence teams to work together for more efficient, effective, and collaborative cyber defense and protection. With ThreatConnect, organizations infuse threat intelligence and cyber risk quantification into their work, allowing them to orchestrate and automate processes to respond faster and more confidently than ever before. Nearly 200 enterprises and thousands of security operations professionals rely on ThreatConnect every day to protect their most critical systems.
Creative Network Innovations is a Melbourne, FL-based company in the Computers and Electronics sector.
Remote Switch Systems is a Loveland, CO-based company in the Computers and Electronics sector.
For over 10 years, the world-renowned experts at OnBoard Security have been pioneering technologies that protect the Internet of Things, now and for the future. We address three significant challenges; ensuring the security and privacy of connected vehicles, making hardware roots of trust easy to use, and avoiding the existential threat from quantum computers to the integrity of the internet. OnBoard Security, formerly the Embedded Security Business Unit of Security Innovation, was created to help automotive and IoT organizations stay ahead of the curve through superior cybersecurity. OnBoard Security is privately held and headquartered in Wilmington, MA USA
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.