Digital exposure management and secure communications for national security
Ridgeline International, now operating as Veilant, builds capabilities for managing digital signatures and exposure in ubiquitous technical surveillance (UTS) environments for defense and national security customers. Its stack pairs Azure services, Kubernetes and Proxmox with Zabbix and Splunk monitoring, and it is moving away from Azure and C#. Accelerating hiring tilts toward ops and sales, with a Growth Lead role and pain points centered on USCYBERCOM and Army expansion.
Notable leadership hires: Growth Lead
Ridgeline International, LLC, rebranded as Veilant, is a privately held company founded in 2015 and headquartered in Tysons Corner, VA. It serves mission-critical government and national security customers with capabilities spanning UTS mitigation, digital signature management, cyber security, UAS, systems engineering and training. The company employs 201–500 people and hires in the United States. Its operations run on Deltek Costpoint for finance and Paycom for payroll, alongside a mix of Linux, VMware and Azure infrastructure.
Veilant uses Azure, Azure DevOps, Kubernetes, VMware, Proxmox, Zabbix, Splunk, Java, Angular, Node.js, GraphQL, SQL Server, MySQL, ArcGIS and Leaflet, with Deltek Costpoint and Paycom for back office.
Ridgeline International, now Veilant, is headquartered in Tysons Corner, Virginia, United States, and currently hires only in the US.
Yes. Hiring is accelerating, led by operations and sales roles plus a Growth Lead, with additional openings in engineering, finance, legal, security and support.
Other companies in the same industry, closest in size
Ridgeline International, LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.