[{"data":1,"prerenderedAt":1078},["ShallowReactive",2],{"/en-us/the-source/ai/self-hosted-ai-balance-innovation-and-security-in-government/":3,"footer-en-us":52,"the-source-navigation-en-us":359,"the-source-newsletter-en-us":386,"self-hosted-ai-balance-innovation-and-security-in-government-article-hero-category-en-us":398,"self-hosted-ai-balance-innovation-and-security-in-government-the-source-gated-asset-en-us":422,"self-hosted-ai-balance-innovation-and-security-in-government-category-en-us":436,"self-hosted-ai-balance-innovation-and-security-in-government-the-source-resources-en-us":448,"self-hosted-ai-balance-innovation-and-security-in-government-article-hero-author-en-us":488},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"slug":8,"type":9,"category":5,"config":10,"seo":17,"content":21,"_id":46,"_type":47,"title":7,"_source":48,"_file":49,"_stem":50,"_extension":51},"/en-us/the-source/ai/self-hosted-ai-balance-innovation-and-security-in-government","ai",false,"","self-hosted-ai-balance-innovation-and-security-in-government","article",{"layout":11,"template":12,"featured":13,"articleType":14,"author":15,"gatedAsset":16},"the-source","TheSourceArticle",true,"Regular","bob-stevens","source-lp-ai-for-air-gapped-environments",{"title":18,"description":19,"ogImage":20},"Self-hosted AI: Balance innovation & security in government","Discover how self-hosted models enable federal agencies to leverage artificial intelligence while maintaining strict security and compliance standards.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1752687563/vda4ouljcsv1z63bvs2p.png",{"title":22,"description":19,"date":23,"timeToRead":24,"keyTakeaways":25,"articleBody":29,"faq":30,"heroImage":20},"Self-hosted AI: Balance innovation and security in government","2025-07-22","5 min read",[26,27,28],"Self-hosted models allow federal agencies to use artificial intelligence while keeping sensitive data within secure, controlled environments that meet strict compliance requirements.","Government organizations gain better security, cost control, and custom solutions by running AI models on their own infrastructure rather than using cloud-based services.","Military branches like the Army, Air Force, and Defense Information Systems Agency are already deploying self-hosted AI tools for mission-critical operations.","Government agencies face strict rules that prevent them from using cloud technology for software development. This blocks their access to AI's transformative potential because most advanced AI solutions run in the cloud. The risks of sending data outside their networks and losing control over AI environments force them to find a more secure path.\n\nDespite these challenges, ignoring AI entirely isn't realistic. Agencies must integrate AI into software development to support [efficient software modernization](https://about.gitlab.com/the-source/ai/reducing-software-development-complexity-with-ai/). But how can they use AI tools to enhance productivity, improve security, and drive innovation without exposing themselves to the risks associated with cloud-based AI solutions?\n\nSelf-hosted AI models provide a strategic solution. By running and managing large language models (LLMs) and other advanced AI capabilities within their own secure infrastructure, whether in on-premises data centers or private cloud environments, agencies gain the control needed to leverage AI while maintaining strict compliance standards and advancing mission-critical applications.\n\n## Key benefits of a self-hosted AI strategy\n\nAfter working with federal agency tech leaders for many years, I understand that a statement like \"Let's just host it ourselves\" might raise some eyebrows. It's not always straightforward, especially with a technology as new as AI. However, evidence suggests that federal agencies and defense organizations are ready for a different approach.\n\nFor example, [the Pentagon is actively working on a \"fast pass\" approach](https://federalnewsnetwork.com/defense-news/2025/04/pentagon-to-establish-secure-software-assurance-program/) to securing software components, aiming to onboard approved software more quickly by using existing standards such as [Software Bill of Materials (SBOM)](https://about.gitlab.com/the-source/security/guide-to-dynamic-sboms/), the NIST Secure Software Development Framework (SSDF), and other common attestation methods and [risk assessments](https://about.gitlab.com/the-source/security/embedding-risk-intelligence-into-your-software-supply-chain/).\n\nMeanwhile, the House Oversight and Government Reform Committee has been exploring ways to use IT modernization to enhance efficiency. And there's a broad groundswell of interest in finding ways to leverage AI in government.\n\nHere are several examples from the U.S. military:\n\n- The Defense Information Systems Agency is developing a [new data strategy](https://www.linkedin.com/pulse/disa-outlines-blueprint-new-data-strategy-u4jfc/?trackingId=hNpbXWugSH%2BukncYhngytA%3D%3D) that integrates data, analytics, and AI into all aspects of defense operations through a secure, self-hosted platform.\n- The Army is building [two new self-hosted AI tools](https://www.army.mil/article/283601/enhancing_military_operational_effectiveness_through_the_integration_of_camo_and_nipr_gpt), CamoGPT and NIPR GPT, to support predictive maintenance, analysis of adversaries' communications, logistics optimization, and evaluation of different proposed courses of action.\n- The Air Force Research Lab is developing an open-source platform, the [Air and Space Force Cognitive Engine](https://afresearchlab.com/technology/air-and-space-force-cognitive-engine/), a flexible, single IT platform for operationalizing AI within the Air Force.\n\nGovernment organizations see clear advantages when they host LLMs within their own secure infrastructure:\n- **Data sovereignty**: When working with sensitive national security information, the risks of external data processing and limited control over AI environments demand a more secure approach that keeps critical data within protected boundaries. Self-hosted environments ensure that level of security.\n- **Regulatory compliance**: Federal agencies must adhere to complex regulatory frameworks, including the Federal Risk and Authorization Management Program (FedRAMP), International Traffic in Arms Regulation (ITAR), Federal Information Security Modernization Act (FISMA), and agency-specific mandates. Self-hosted environments provide the detailed control necessary to implement specific security controls, audit trails, and governance frameworks that meet these strict requirements.\n- **Better security**: Self-hosted models dramatically reduce potential attack vectors by removing dependencies on external APIs and third-party infrastructure. Agencies maintain complete control over access management, network segmentation, and vulnerability patching within their AI systems.\n- **Custom solutions**: Unlike standard cloud solutions, agencies can choose from a list of supported AI models using specialized datasets tailored to their unique use cases and environments. This enables the development of more effective, purpose-built AI solutions that directly support mission objectives, whether by enhancing intelligence analysis, optimizing resources, or strengthening cybersecurity. This customization also facilitates [integration with legacy systems](https://about.gitlab.com/the-source/security/why-legacy-code-is-a-security-risk-and-how-ai-can-help/), a common challenge in the public sector.\n- **Cost control**: While the initial setup requires an investment in infrastructure and expertise, self-hosted AI models can provide more predictable long-term cost structures compared to variable subscription-based cloud models. This approach offers greater flexibility for large-scale deployments, leveraging existing infrastructure and personnel. Plus, self-hosted AI can offer a secure environment for modernizing legacy systems while maintaining direct oversight of sensitive code.\n\n## Fostering innovation within a trusted framework\n\nRunning AI in a secure, self-hosted environment supports innovation within a foundation of trust and control. Agencies can adopt open-source AI advances while maintaining security, compliance, and performance standards. This flexibility allows government developers and data scientists to build critical applications with security and compliance as foundational principles rather than afterthoughts.\n\nThe examples above clearly demonstrate that the U.S. government — particularly the Department of Defense — is serious about embracing the potential of AI to make their work more effective, efficient, and innovative. This movement is already well underway.\n\nFor federal agencies, integrating self-hosted AI models into software development workflows is essential for managing the complex web of security regulations while fostering innovation. Self-hosting allows AI to reach its full potential throughout the software development lifecycle. This enhances operational effectiveness, strengthens security, and accelerates the creation of more intelligent applications to safeguard national interests in an increasingly complex digital environment.",[31,34,37,40,43],{"header":32,"content":33},"What is self-hosted AI and how does it work for government agencies?","Self-hosted AI involves running large language models and AI capabilities within an agency's own secure infrastructure, either on-premises or in private cloud environments. This approach allows agencies to leverage AI tools while maintaining complete control over sensitive data and meeting strict compliance requirements.",{"header":35,"content":36},"Which military branches are currently using self-hosted AI tools?","The Army is building CamoGPT and NIPR GPT for predictive maintenance and logistics optimization. The Air Force Research Lab is developing the Air and Space Force Cognitive Engine platform. The Defense Information Systems Agency is integrating AI into defense operations via secure, self-hosted platforms.",{"header":38,"content":39},"What compliance standards must government self-hosted AI meet?","Government self-hosted AI must comply with FedRAMP, ITAR, FISMA, and agency-specific mandates. Self-hosted environments provide the detailed control needed for specific security controls, audit trails, and governance frameworks that meet these strict regulatory requirements.",{"header":41,"content":42},"How does self-hosted AI reduce security risks compared to cloud-based solutions?","Self-hosted AI dramatically reduces attack vectors by eliminating dependencies on external APIs and third-party infrastructure. Agencies maintain complete control over access management, network segmentation, and vulnerability patching within their AI systems, keeping sensitive data within protected boundaries.",{"header":44,"content":45},"What are the cost advantages of self-hosted AI for government agencies?","Self-hosted AI provides more predictable long-term cost structures compared to variable subscription-based cloud models. 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He is responsible for establishing and maintaining the enterprise vision, strategy, and program to ensure information assets and technologies are adequately protected, fortifying the Gitlab DevSecOps platform and ensuring the highest level of security for customers.",{"altText":874,"config":884},{"src":885},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463405/f4rqtiecakrekvxfhqar.jpg",{"componentName":508,"type":508},"josh-lemos","content:en-us:the-source:authors:josh-lemos.yml","en-us/the-source/authors/josh-lemos.yml","en-us/the-source/authors/josh-lemos",{"_path":892,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":893,"seo":894,"content":896,"type":509,"slug":903,"_id":904,"_type":47,"title":895,"_source":48,"_file":905,"_stem":906,"_extension":51},"/en-us/the-source/authors/julie-griffin",{"layout":11},{"title":895},"Julie Griffin",[897,902],{"componentName":497,"type":497,"componentContent":898},{"name":895,"headshot":899},{"altText":895,"config":900},{"src":901},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463371/hqkbr3uk8hw2de7tltn4.webp",{"componentName":508,"type":508},"julie-griffin","content:en-us:the-source:authors:julie-griffin.yml","en-us/the-source/authors/julie-griffin.yml","en-us/the-source/authors/julie-griffin",{"_path":908,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":909,"seo":910,"content":912,"type":509,"slug":919,"_id":920,"_type":47,"title":911,"_source":48,"_file":921,"_stem":922,"_extension":51},"/en-us/the-source/authors/kristina-weis",{"layout":11},{"title":911},"Kristina Weis",[913,918],{"componentName":497,"type":497,"componentContent":914},{"name":911,"headshot":915},{"altText":911,"config":916},{"src":917},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463469/eoolq6n6bs0zb8gmf0js.webp",{"componentName":508,"type":508},"kristina-weis","content:en-us:the-source:authors:kristina-weis.yml","en-us/the-source/authors/kristina-weis.yml","en-us/the-source/authors/kristina-weis",{"_path":924,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":925,"seo":926,"content":928,"type":509,"slug":939,"_id":940,"_type":47,"title":927,"_source":48,"_file":941,"_stem":942,"_extension":51},"/en-us/the-source/authors/lee-faus",{"layout":11},{"title":927},"Lee Faus",[929,938],{"componentName":497,"type":497,"componentContent":930},{"config":931,"name":927,"role":933,"bio":934,"headshot":935},{"gitlabHandle":932},"lfaus","Global Field CTO","Lee Faus is a Global Field CTO at GitLab. Lee has been a software architect, teacher, professor, and educator for over 25 years. He leverages his experience as an educator to bring complex technology concepts into a business forum where executives gain valuable advice to positively impact their business.",{"altText":927,"config":936},{"src":937},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463398/vivhlomglvnstamj54bo.jpg",{"componentName":508,"type":508},"lee-faus","content:en-us:the-source:authors:lee-faus.yml","en-us/the-source/authors/lee-faus.yml","en-us/the-source/authors/lee-faus",{"_path":944,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":945,"seo":946,"content":948,"type":509,"slug":952,"_id":957,"_type":47,"title":958,"_source":48,"_file":959,"_stem":960,"_extension":51},"/en-us/the-source/authors/ncregan",{"layout":11},{"title":947},"Niall Cregan",[949,956],{"componentName":497,"type":497,"componentContent":950},{"config":951,"name":947,"headshot":953},{"gitlabHandle":952},"ncregan",{"altText":947,"config":954},{"src":955},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463431/yrtwodocb4cu3j7lkhyo.png",{"componentName":508,"type":508},"content:en-us:the-source:authors:ncregan.yml","Ncregan","en-us/the-source/authors/ncregan.yml","en-us/the-source/authors/ncregan",{"_path":962,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":963,"seo":964,"content":966,"type":509,"slug":977,"_id":978,"_type":47,"title":979,"_source":48,"_file":980,"_stem":981,"_extension":51},"/en-us/the-source/authors/rschulman",{"layout":11},{"title":965},"Robin Schulman",[967,976],{"componentName":497,"type":497,"componentContent":968},{"config":969,"name":965,"role":971,"bio":972,"headshot":973},{"gitlabHandle":970},"robin","Chief Legal Officer","Robin Schulman is the Chief Legal Officer, Head of Corporate Affairs, and Corporate Secretary of GitLab Inc., the DevSecOps platform.",{"altText":965,"config":974},{"src":975},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463437/u2xfbudw1f8hhnkrgaoy.webp",{"componentName":508,"type":508},"rschulman","content:en-us:the-source:authors:rschulman.yml","Rschulman","en-us/the-source/authors/rschulman.yml","en-us/the-source/authors/rschulman",{"_path":983,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":984,"seo":985,"content":987,"type":509,"slug":996,"_id":997,"_type":47,"title":986,"_source":48,"_file":998,"_stem":999,"_extension":51},"/en-us/the-source/authors/sabrina-farmer",{"layout":11},{"title":986},"Sabrina Farmer",[988,995],{"componentName":497,"type":497,"componentContent":989},{"name":986,"role":990,"bio":991,"headshot":992},"Chief Technology Officer","Sabrina Farmer is the Chief Technology Officer at GitLab, where she leads software engineering, operations, and customer support teams to execute the company's technical vision and strategy and oversee the development and delivery of GitLab's products and services.\n\nPrior to GitLab, Sabrina spent nearly two decades at Google, where she most recently served as vice president of engineering, core infrastructure. During her tenure with Google, she was directly responsible for the reliability, performance, and efficiency of all of Google's billion-user products and infrastructure.\n\nA long-time advocate for women in technology, Farmer earned a B.S. in Computer Science at the University of New Orleans, where she established two scholarships to help level the playing field for inclusion and empowerment in technology.",{"altText":986,"config":993},{"src":994},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463377/udmzbjjr5xrcrffdlphx.webp",{"componentName":508,"type":508},"sabrina-farmer","content:en-us:the-source:authors:sabrina-farmer.yml","en-us/the-source/authors/sabrina-farmer.yml","en-us/the-source/authors/sabrina-farmer",{"_path":1001,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":1002,"seo":1003,"content":1005,"type":509,"slug":1015,"_id":1016,"_type":47,"title":1004,"_source":48,"_file":1017,"_stem":1018,"_extension":51},"/en-us/the-source/authors/sandra-gittlen",{"layout":11},{"title":1004},"Sandra Gittlen",[1006,1014],{"componentName":497,"type":497,"componentContent":1007},{"config":1008,"name":1004,"role":1010,"headshot":1011},{"gitlabHandle":1009},"sgittlen","Managing Editor, Blog",{"altText":1004,"config":1012},{"src":1013},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463466/r7ckb9h2zr4c2rsz3zlm.png",{"componentName":508,"type":508},"sandra-gittlen","content:en-us:the-source:authors:sandra-gittlen.yml","en-us/the-source/authors/sandra-gittlen.yml","en-us/the-source/authors/sandra-gittlen",{"_path":1020,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":1021,"seo":1022,"content":1024,"type":509,"slug":1031,"_id":1032,"_type":47,"title":1023,"_source":48,"_file":1033,"_stem":1034,"_extension":51},"/en-us/the-source/authors/sharon-gaudin",{"layout":11},{"title":1023},"Sharon Gaudin",[1025,1030],{"componentName":497,"type":497,"componentContent":1026},{"name":1023,"headshot":1027},{"altText":1023,"config":1028},{"src":1029},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463475/h6j4nnvykzyfzgvl7txb.webp",{"componentName":508,"type":508},"sharon-gaudin","content:en-us:the-source:authors:sharon-gaudin.yml","en-us/the-source/authors/sharon-gaudin.yml","en-us/the-source/authors/sharon-gaudin",{"_path":1036,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":1037,"seo":1038,"content":1040,"type":509,"slug":1052,"_id":1053,"_type":47,"title":1039,"_source":48,"_file":1054,"_stem":1055,"_extension":51},"/en-us/the-source/authors/stephen-walters",{"layout":11},{"title":1039},"Stephen Walters",[1041,1051],{"componentName":497,"type":497,"componentContent":1042},{"config":1043,"name":1039,"role":1046,"bio":1047,"headshot":1048},{"gitlabHandle":1044,"linkedInProfileUrl":1045},"swalters1","https://www.linkedin.com/in/1stephenwalters/","Field CTO, GitLab","Stephen Walters is Field CTO for GitLab. Stephen has been in the IT industry for over 30 years. He is an extensively experienced subject matter expert in Value Stream Management, DevSecOps, DevOps, ALM, SDLC and IT4IT, with management and consultancy experience across end-to-end IT disciplines. Currently also operating as an Ambassador for the DevOps Institute and an Influencer in the Value Stream Management Consortium, he is interested in all things DevOps. Stephen is a co-author of the Value Stream Reference Architectures white paper and is currently pursuing further research into Value Stream Management, Organizational Architecture and AI.",{"altText":1039,"config":1049},{"src":1050},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463392/g6ktk5qb4vcqc9wqjlf9.jpg",{"componentName":508,"type":508},"stephen-walters","content:en-us:the-source:authors:stephen-walters.yml","en-us/the-source/authors/stephen-walters.yml","en-us/the-source/authors/stephen-walters",{"_path":1057,"_dir":491,"_draft":6,"_partial":6,"_locale":7,"config":1058,"seo":1059,"content":1061,"type":509,"slug":1073,"_id":1074,"_type":47,"title":1075,"_source":48,"_file":1076,"_stem":1077,"_extension":51},"/en-us/the-source/authors/taylor-mccaslin",{"layout":11},{"title":1060},"Taylor McCaslin",[1062,1072],{"componentName":497,"type":497,"componentContent":1063},{"config":1064,"name":1060,"role":1067,"bio":1068,"headshot":1069},{"gitlabHandle":1065,"linkedInProfileUrl":1066},"tmccaslin","https://www.linkedin.com/in/taylormccaslin/","Group Manager, Product - Data Science","Taylor McCaslin is the Product Lead for AI/ML at GitLab, where he is responsible for leading the team of product managers who manage the AI Powered and ModelOps stage groups and sets the vision and direction for how to empower GitLab users to leverage data science as part of their DevOps program. Prior to joining GitLab, he held positions at Indeed, Duo Security, and WP Engine.",{"altText":1060,"config":1070},{"src":1071},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1751463427/trfasilaeasosxfcxmsm.jpg",{"componentName":508,"type":508},"taylor-mccaslin","content:en-us:the-source:authors:taylor-mccaslin.yml","Taylor Mccaslin","en-us/the-source/authors/taylor-mccaslin.yml","en-us/the-source/authors/taylor-mccaslin",1753799826715]