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SBOX is the Converged Appliance Solution for Splunk SBOX Inc was founded by a team of technical and security Splunk experts with years of real-world field experience. We have helped our customers to design and manage hundreds of Splunk environments globally. Our team has extensive experience managing performance, security, and maintenance of big data computing platforms, and delivers successful data-driven infrastructures based on industry best practices, as well as specific customer needs. We have capitalized on this experience to introduce the first Splunk Powered™ appliance designed and built specifically for the Splunk Enterprise platform. The SBOX Appliance dramatically improves Splunk`s performance, provides our customers with a fast time-to-value, and delivers a secure turn-key deployment. The SBOX` converged big data architecture effectively reduces the total cost of ownership of a Splunk deployment and allows customers to focus on operations, not infrastructure management. We are headquartered in San Francisco, California with offices around 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.
BitArmor Systems Inc is a Pittsburgh, PA-based company in the Computers and Electronics sector.
Source 44 Consulting is a Markham, ON-based company in the Computers and Electronics sector.
Icelab Networks is a Denver, CO-based company in the Computers and Electronics sector.