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We are a team of visionary leaders who shift the paradigm to bring our customers game changing innovations and emerging technologies to strengthen their missions. As a Vision, Mission, and Driven company, VMD has been delivering information technology solutions to the Federal government in Agile Engineering, Cybersecurity, and Critical Infrastructure Protection since 2002. Our staff of over 700 employees support large mission agencies (Civilian and Defense), through actionable, transformational, and scalable approaches that result in value and cost savings to mission focused programs.
Ziften Open Visibility Intelligence provides a more secure environment by delivering actionable analytics for any user device across the enterprise. Ziften enhances existing security, system management, and event monitoring. Ziften’s delivery of crucial open intelligence across the enterprise endpoints, enables organizations to be more efficient, intelligent, and secure.
VulnCheck helps organizations outpace adversaries with vulnerability intelligence that predicts avenues of attack with speed and accuracy. The VulnCheck team comprises a who`s who of cybersecurity research, with decades of experience uncovering 100s of 0days and 10+ patents. VulnCheck`s vulnerability and exploit intelligence equips defenders with the insights they need to focus resources on the vulnerabilities that matter most. That`s why VulnCheck has been selected to power government agencies, large enterprises, and the industry`s most innovative cybersecurity solutions, covering billions of assets around the world.
Network Design is a Minneapolis, MN-based company in the Computers and Electronics sector.
The Synthetic Data Engine by Mostly AI allows to simulate realistic & representative synthetic data at scale, by automatically learning patterns, structure and variation from existing data. It leverages state-of-the-art generative deep neural networks with in-built privacy mechanism to retain the valuable information while rendering the re-identification of any individual impossible. This way it provides as-good-as-real, yet fully anonymous data, that can be freely processed, analyzed and shared further.