United States Department of Defense
1400 Defense Pentagon,
Washington, 20301, DC,
United States
Washington, 20301, DC,
United States
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Government
United States Department of Defense Technographics
United States Department of Defense Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by United States Department of Defense and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 United States Department of Defense employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that United States Department of Defense has purchased the following applications: In-House HRIS written in Cobol for Core HR in 1995, C3 AI Reliability for Asset Performance Management in 2019, Grok for Generative AI Platforms in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems United States Department of Defense is running and its propensity to invest more and deepen its relationship with In-House Applications , ServiceNow , Galvanize or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing United States Department of Defense revenues, which have grown to $250.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for United States Department of Defense intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
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United States Department of Defense Data, Technology Stack, and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| In-House Applications | Legacy | In-House HRIS written in Cobol | Core HR | HCM | n/a | 1995 | 2002 |
In 1995, the United States Department of Defense implemented the In-House HRIS written in Cobol, a Core HR application. The In-House HRIS written in Cobol operated as the department's Defense Civilian Personnel Data System DCPDS for processing core HR and civilian payroll transactions across the department, centralizing personnel records and payroll input for civilian workforces.
Functional configuration of the In-House HRIS written in Cobol included core HR master data management, civilian payroll processing, and benefits administration modules, reflecting Core HR workflows such as personnel actions, position management, pay calculation, and benefits eligibility. The system used COBOL-coded business logic and job stream automation typical of mainframe Core HR implementations, supporting batch payroll runs and transaction posting.
Architecturally the deployment was a COBOL-based mainframe implementation with character-oriented interfaces and scheduled processing, consistent with in-house HR systems of the period. Lockheed Martin is noted in public records as a systems integrator and operator associated with DCPDS, and operational integrations focused on internal payroll and benefits transaction flows rather than cloud or web-native services.
Operational scope covered civilian personnel and payroll functions across the Department of Defense, with centralized governance for personnel data and documented modernization planning for the system. Rollout and ongoing operations emphasized departmental-wide data consistency, controlled change management for payroll cycles, and formal modernization efforts recorded in subsequent planning documents.
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HR Service Delivery | HCM |
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2017 | 2017 |
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Learning and Development | HCM |
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2020 | 2020 |
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Recruiting | HCM |
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2025 | 2025 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| C3.ai | Legacy | C3 AI Reliability | Asset Performance Management | ERP Services and Operations | n/a | 2019 | 2019 |
In 2019, the United States Department of Defense deployed C3 AI Reliability, an Asset Performance Management application, to predict subsystem failures across multiple aircraft platforms. The implementation targeted predictive maintenance and reliability engineering use cases, configuring C3 AI Reliability to run both model training and ongoing inference against historical and operational platform data.
Functional modules implemented include condition monitoring, anomaly detection, prognostics, and model lifecycle management. The configuration emphasized data ingestion pipelines for sensor and telemetry streams, feature engineering workflows, and recurring inference pipelines to surface time to failure estimates and confidence scores, with explainability tooling to aid diagnostic workflows.
Operational coverage extended across multiple aircraft platforms and supported maintenance, mission operations, and reliability engineering teams within the defense organization. Governance and operational controls were instituted for model validation, version management, threshold tuning, and access control to inference outputs, and rollout was staged by platform to validate predictions and refine model parameters prior to broader operational use.
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Pharmacy Management | ERP Services and Operations |
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2015 | 2017 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| X.ai | Legacy | Grok | Generative AI Platforms | AI Development | n/a | 2025 | 2026 |
In 2025 the United States Department of Defense procured Grok from xAI under the Grok for Government offering to bring frontier AI models into unclassified and classified networks for national security and defense operations. The award was announced in 2025 and deployment activity was reported in early 2026 as the DoD moved to operationalize agentic AI capabilities across mission workflows.
Grok was implemented as a Generative AI Platforms capability focused on mission and operational AI services, enabling agentic AI workflows and accelerating operational data analysis. Configuration work centered on model stewardship, prompt orchestration, and workflow automation to support analyst and operator use cases consistent with Generative AI Platforms functional practices.
Deployment structure separated instantiations across unclassified and classified network enclaves to align with DoD network boundary requirements, enabling Grok to serve both noncontrolled and controlled operational environments. The implementation emphasized embedding Grok into existing operational data flows and analysis pipelines to surface model outputs for defense decision support and rapid information synthesis.
Governance and rollout prioritized security alignment with DoD controls, access segregation between enclaves, and staged operational onboarding to mission owners and analytic teams. The stated outcome of the implementation was to enable agentic AI workflows and to accelerate operational data analysis in support of national security and defense operations.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Computer Vision | AI-Powered Application |
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2018 | 2019 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
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2020 | 2020 |
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Analytics and BI | Analytics and BI |
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2013 | 2013 |
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Analytics and BI | Analytics and BI |
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2024 | 2024 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2015 | 2015 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Web Content Management | Content Management |
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2015 | 2015 |
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Web Content Management | Content Management |
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2015 | 2015 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Fleet Management | SCM |
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2016 | 2017 |
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Inventory Management | SCM |
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2024 | 2025 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Lead Generation | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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PR and Media Communication | CRM |
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2024 | 2024 |
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IT Asset Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Hardware Asset Management (HAM), Software Asset Management (SAM), IT Asset Management (ITAM), SaaS Spend Management | IT Asset Management |
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2019 | 2019 |
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Hardware Asset Management (HAM), Software Asset Management (SAM), IT Asset Management (ITAM), SaaS Spend Management | IT Asset Management |
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2019 | 2019 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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IT Service Management | ITSM |
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2017 | 2017 |
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Remote Monitoring and Management | ITSM |
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2001 | 2001 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Project Portfolio Management | PPM |
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2017 | 2017 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Governance, Risk and Compliance | TRM |
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2024 | 2024 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2024 | 2024 |
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Extract, Transform, and Load (ETL) | PaaS |
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2004 | 2006 |
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Operating System (OS) | PaaS |
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2024 | 2024 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2012 | 2012 |
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Database Management | IaaS |
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2019 | 2019 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2002 | 2002 |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2007 | 2007 |
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Endpoint Detection and Response (EDR), Vulnerability Management | CyberSecurity |
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2021 | 2021 |
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Endpoint Management | CyberSecurity |
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2023 | 2023 |
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Identity and Access Management (IAM) | CyberSecurity |
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2025 | 2025 |
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Identity and Access Management (IAM) | CyberSecurity |
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2025 | 2025 |
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Identity and Access Management (IAM), Extended Detection and Response (XDR) | CyberSecurity |
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2025 | 2026 |
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Security Information and Event Management (SIEM) | CyberSecurity |
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2024 | 2024 |
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Security Orchestration, Automation, and Response (SOAR) | CyberSecurity |
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2025 | 2025 |
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Threat Modeling | CyberSecurity |
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2021 | 2021 |
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Vulnerability Management | CyberSecurity |
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2024 | 2024 |
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Vulnerability Management | CyberSecurity |
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2025 | 2026 |
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Physical Security
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Video Surveillance System | Physical Security |
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2002 | 2002 |
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IT Decision Makers and Key Stakeholders at United States Department of Defense
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by United States Department of Defense Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD United States Department of Defense Technographics
United States Department of Defense is a Government organization based in United States,
with around 1000 employees and annual revenues of $250.0 million.
United States Department of Defense operates a diverse technology stack with applications such as
In-House HRIS written in Cobol, C3 AI Reliability and Grok,
covering areas like Core HR, Asset Performance Management and Generative AI Platforms.
United States Department of Defense has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as In-House Applications, C3.ai and X.ai.
United States Department of Defense recently adopted applications including
Hirevue FedRAMP in 2025, Grok in 2025 and SOFTwarfare BioThenticate in 2025,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of United States Department of Defense’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates United States Department of Defense’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete United States Department of Defense technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.