Systems integration and cyber security for federal defense and intelligence agencies
Integrity Technology Consultants is a woman-owned federal contractor built around systems engineering, security operations, and mission-critical integration — primarily serving National Security Agency, Department of Defense, and Intelligence Community buyers. The hiring profile skews heavily toward senior engineers and security specialists (24 senior, 17 security roles) rather than sales or management, reflecting a technical delivery model. Active projects center on integrating large system acquisitions, automating legacy infrastructure, and securing enterprise DNS/DHCP/IPAM layers across multiple agency directorates.
Founded in 2003 and headquartered in Odenton, Maryland, Integrity Technology Consultants operates as a woman-owned small business delivering systems engineering, cyber security, and mission operations support. The company staffs certified project managers and information security professionals with deep experience across NSA, DoD, and federal agency environments. Core offerings include system integration, software engineering, enterprise architecture, data science, and cyberspace operations — delivered through a combination of direct staff augmentation and program management services.
ITC uses Kubernetes, AWS, Elasticsearch, Splunk, Python, MongoDB, Django, Flask, PySpark, Apache NiFi, Ansible, Docker, Red Hat Enterprise Linux, and Cisco/Palo Alto/Juniper network equipment — spanning cloud infrastructure, log aggregation, data processing, and security platforms.
Odenton, Maryland. The company is a privately held woman-owned small business founded in 2003 with 51–200 employees.
Integrity Technology Consultants'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.