CMMC and NIST 800-171 compliance services for defense contractors
CyberSheath delivers DoD cybersecurity compliance, from NIST 800-171 assessments through hands-on implementation, for defense industrial base contractors. Its stack centers on Microsoft's government cloud (GCC, Purview DLP, Sentinel, Defender XDR, Intune) alongside AWS GovCloud, and its projects show a managed-services model: Purview DLP rollouts, sensitivity labeling, and Office 365 and Azure migrations. Hiring is slow, but a Customer Success Director opening points to a retention focus.
Notable leadership hires: Customer Success Director
CyberSheath is a privately held cybersecurity compliance firm headquartered in Reston, VA, founded in 2012 and employing 51–200 people. It serves Department of Defense contractors that need to meet DFARS, NIST 800-171 and CMMC requirements. Its services span assessments, system security plans, audit preparation and ongoing compliance management. It also provides vulnerability assessments, incident response, privileged account management, CyberArk professional services and Archer eGRC work.
CyberSheath helps DoD contractors reach and maintain NIST 800-171, DFARS and CMMC compliance. Its work covers assessments, system security plans, audit preparation, and technical implementation such as Microsoft Purview DLP.
CyberSheath works mainly in Microsoft's government cloud: GCC, Purview, Sentinel, Defender XDR, Intune and Azure Virtual Desktop. It also uses AWS GovCloud, Sumo Logic, Google Chronicle, NinjaOne, ConnectWise Manage and Salesforce.
CyberSheath is headquartered in Reston, Virginia, and hires in the United States. The company was founded in 2012 and has 51–200 employees.
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CyberSheath'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.