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Tego Cyber Inc. (OTCQB:TGCB, "the Company") was created to capitalize on the emerging cyber threat intelligence market. The Company has developed a cyber threat intelligence application that integrates with top end security platforms to gather, analyze, then proactively identify threats to an enterprise network. The Tego Threat Intelligence Platform (TTIP) takes in vetted and curated threat data and after utilizing a proprietary process, the platform compiles, analyzes, and then delivers that data to an enterprise network in a format that is timely, informative, and relevant. The threat data provides additional context including specific details needed to identify and counteract threats so that security teams can spend less time searching for disparate information. The first version of the TTIP will integrate with the widely accepted SPLUNK platform to provide real-time threat intelligence to macro enterprises using the SPLUNK architecture. The Company plans on developing future versions of the TTIP for integration with other established SIEM systems and platforms including: Elastic, IBM QRadar, AT&T Cybersecurity, Exabeam, and Google Chronical.
Maintech / Volt Information Sciences is a Cranford, NJ-based company in the Computers and Electronics sector.
E Prosoftgroup is a Madison, WI-based company in the Computers and Electronics sector.
Simudyne is a Platform-as-a-Service (PaaS) software provider that offers a powerful platform for building next-generation simulation-based Decision Support Systems (DSS). 21st century organizations need to be lean on planning and agile in execution. In a world where time for planning and deliberation is short and the need for decisive execution is paramount, Simudyne provides the platform of choice for those seeking to develop versatile, sophisticated, scalable simulation applications that help leaders solve complex problems and dramatically accelerate and improve decision-making by turning insight into foresight.
Ordr solves this problem, providing enterprises with complete visibility and exhaustive control over every class of network-connected device and system. The Ordr Systems Control Engine is the only purpose-built solution to fully map the device flow genome at massive scale, using machine learning to completely and continuously inspect, classify and baseline the behavior of every device.