| Name | Title | Contact Details |
|---|
Siemplify ThreatNexus is the cyber industry`s only Security Orchestration and Incident Response platform used by security operations management, responders, and analysts as the primary day-to-day application to execute, measure, and monitor the full business function of security operations.
Ocean Server Technology is a Fall River, MA-based company in the Computers and Electronics sector.
Northland Systems is a Minneapolis, MN-based company in the Computers and Electronics sector.
Arctic Wolf® is the global leader in security operations, delivering the first cloud-native security operations platform to end cyber risk. Powered by threat telemetry spanning endpoint, network, and cloud sources, the Arctic Wolf® Security Operations Cloud ingests and analyzes more than 1.6 trillion security events a week across the globe, enabling critical outcomes for most security use cases and optimizing customers` disparate security solutions. Now deployed to more than 2,300 customers worldwide, the Arctic Wolf® Platform delivers automated threat detection and response at scale, and empowers organizations of any size to establish world-class security operations with the push of a button.
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.