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1Kosmos is the world`s only cybersecurity solution that combines indisputable digital identity proofing with advanced biometrics, passwordless authentication, while storing user data encrypted in a private, permissioned blockchain. BlockID goes beyond all passwordless solutions on the market by bringing decentralized identity to your workforce and customers. Our indisputable ID-proofing process backed by the use of advanced biometrics ensures that you know for a fact who accesses your systems and applications. Integration in minutes. No software for you to install (of course, hybrid and on-site versions are also available). No technology for users to buy. 1Kosmos BlockID is fully IAL3 and AAL3 compliant per the NIST SP-800 63-3 guidelines.
NUUO is a Rowland Heights, CA-based company in the Computers and Electronics sector.
TeenSafe was created in 2011 by parents for parents to help keep their children safe and flourishing. Smartphones have become a huge part of our kids` lives. We believe that monitoring and managing their activity is an essential part of modern parenting. This belief drives our talented team to create and market solutions that help parents detect and solve many of the issues children face in the mobile social digital age, including: cyberbullying, sexting, distraction, depression, too much screen time, inappropriate apps and content, among others. Our signature Monitor product allows parents to track location, texts, deleted texts, iMessages, Kik, WhatsApp, browsing and search history, installed apps, call logs and more. And our Manage product enables parents to remotely restrict apps, camera, purchases and more on the child`s device. From our base in Santa Monica, California, we continue to innovate and deliver ground breaking and market leading services that truly make a difference to children`s outcomes.
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.