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teams need to move faster with AI, while security, compliance, and regulatory expectations only get more stringent. GitLab deepens its Anthropic Claude integration so organizations get access to newly released Claude models inside GitLab’s intelligent orchestration platform where governance, compliance, and auditability already run.\n\nClaude powers capabilities across GitLab Duo Agent Platform as the default model out of the box, across a variety of use cases from code generation and review to agentic chat and vulnerability resolution. If you've used GitLab Duo, you've already experienced how Duo agents automate workflows across the entire software development lifecycle (SDLC).\n\nThis accelerates the integration of Claude’s capabilities into GitLab, broadens how enterprises can deploy them, and reinforces what makes GitLab fundamentally different as a platform for software development and engineering: governance, compliance, and auditability built into every AI interaction.\n\n> \"GitLab Duo has accelerated how our teams plan, build, and ship software. The combination of Anthropic's Claude and GitLab's platform means we're getting more capable AI without changing how we work or how it is governed.\"\n>\n> – Mans Booijink, Operations Manager, Cube\n\n## The real differentiator: Governed AI\n\nWith GitLab, governance controls and auditing are built into the SDLC. When Claude suggests a code change through the GitLab Duo Agent Platform, that suggestion flows through the same merge request process, the same approval rules, the same security scanning, and the same audit trail as every other change. AI doesn't get a shortcut around your controls. It operates within them.\n\nAs GitLab moves deeper into agentic software development, where AI autonomously handles well-defined tasks, the governance layer becomes more important. An AI agent that can open a merge request, help resolve a vulnerability, or refactor a service needs to be auditable, attributable, and subject to the same policy enforcement as a human developer. That requirement is an architectural decision GitLab made from the start, and one that grows more consequential as AI agents take on broader responsibilities.\n\n## Enterprise deployment flexibility\n\nThis also expands how organizations access the latest Claude models through GitLab. Claude is available within GitLab through Google Cloud's Vertex AI and Amazon Bedrock, which means enterprises can route AI workloads through the hyperscaler commitments and cloud governance frameworks they already have in place. No separate vendor contract. No new data residency questions. Your existing Google Cloud or AWS relationship is the on-ramp. \n\nGitLab is now also available in the [Claude Marketplace](https://claude.com/platform/marketplace), allowing customers to purchase GitLab Credits and apply them toward existing Anthropic spending commitments – consolidating AI spend and simplifying how teams discover and procure GitLab alongside their Anthropic investments.\n\n## Advancing an agentic future\n\nGitLab's vision for agentic software development, where AI handles defined tasks autonomously across planning, coding, testing, securing, and deploying, requires models with strong reasoning, reliability, and safety characteristics. It also requires a platform where those autonomous actions are fully governed.\n\nAgentic workflows demand models with strong reasoning, reliability, and safety characteristics, criteria that guide how GitLab selects and integrates AI model partners. And GitLab's governance framework helps ensure that as AI agents assume more advanced development work, enterprises maintain full visibility and control over what those agents do, when they do it, and how changes are tracked.\n\n## What this means for GitLab customers\n\nIf you're already using GitLab Duo Agent Platform, you'll get access to Claude models and deeper AI assistance across your software development lifecycle, all within the governance framework you already rely on.\n\nIf you're evaluating AI-powered software development platforms, you shouldn't have to choose between advanced AI capabilities and enterprise control. This strategic integration is built to deliver both.\n\n> Want to learn more about GitLab Duo Agent Platform? [Get a demo or start a free trial today](https://about.gitlab.com/gitlab-duo-agent-platform/).",{"featured":15,"template":694,"slug":695},"BlogPost","gitlab-and-anthropic-governed-ai-for-enterprise-development",{"title":687,"description":697,"authors":698,"heroImage":699,"date":700,"body":692,"category":9,"tags":701},"GitLab deepens its Anthropic Claude integration, bringing governed AI, access to new models, and cloud flexibility to enterprise software development.",[691],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1776457632/llddiylsgwuze0u1rjks.png","2026-04-28",[12,702,263],"product",{},"/en-us/blog/gitlab-and-anthropic-governed-ai-for-enterprise-development","seo:\n  config:\n    noIndex: false\n  title: 'GitLab and Anthropic: Governed AI for enterprise development'\n  description: GitLab deepens its Anthropic Claude integration, bringing governed\n    AI, access to new models, and cloud flexibility to enterprise software\n    development.\ncontent:\n  title: 'GitLab and Anthropic: Governed AI for enterprise development'\n  description: GitLab deepens its Anthropic Claude integration, bringing governed\n    AI, access to new models, and cloud flexibility to enterprise software\n    development.\n  authors:\n    - Stuart Moncada\n  heroImage: https://res.cloudinary.com/about-gitlab-com/image/upload/v1776457632/llddiylsgwuze0u1rjks.png\n  date: 2026-04-28\n  body: >-\n    For enterprise and public sector leaders, the tension is familiar: Software\n    teams need to move faster with AI, while security, compliance, and\n    regulatory expectations only get more stringent. GitLab deepens its\n    Anthropic Claude integration so organizations get access to newly released\n    Claude models inside GitLab’s intelligent orchestration platform where\n    governance, compliance, and auditability already run.\n\n\n    Claude powers capabilities across GitLab Duo Agent Platform as the default model out of the box, across a variety of use cases from code generation and review to agentic chat and vulnerability resolution. If you've used GitLab Duo, you've already experienced how Duo agents automate workflows across the entire software development lifecycle (SDLC).\n\n\n    This accelerates the integration of Claude’s capabilities into GitLab, broadens how enterprises can deploy them, and reinforces what makes GitLab fundamentally different as a platform for software development and engineering: governance, compliance, and auditability built into every AI interaction.\n\n\n    > \"GitLab Duo has accelerated how our teams plan, build, and ship software. The combination of Anthropic's Claude and GitLab's platform means we're getting more capable AI without changing how we work or how it is governed.\"\n\n    >\n\n    > – Mans Booijink, Operations Manager, Cube\n\n\n    ## The real differentiator: Governed AI\n\n\n    With GitLab, governance controls and auditing are built into the SDLC. When Claude suggests a code change through the GitLab Duo Agent Platform, that suggestion flows through the same merge request process, the same approval rules, the same security scanning, and the same audit trail as every other change. AI doesn't get a shortcut around your controls. It operates within them.\n\n\n    As GitLab moves deeper into agentic software development, where AI autonomously handles well-defined tasks, the governance layer becomes more important. An AI agent that can open a merge request, help resolve a vulnerability, or refactor a service needs to be auditable, attributable, and subject to the same policy enforcement as a human developer. That requirement is an architectural decision GitLab made from the start, and one that grows more consequential as AI agents take on broader responsibilities.\n\n\n    ## Enterprise deployment flexibility\n\n\n    This also expands how organizations access the latest Claude models through GitLab. Claude is available within GitLab through Google Cloud's Vertex AI and Amazon Bedrock, which means enterprises can route AI workloads through the hyperscaler commitments and cloud governance frameworks they already have in place. No separate vendor contract. No new data residency questions. Your existing Google Cloud or AWS relationship is the on-ramp. \n\n\n    GitLab is now also available in the [Claude Marketplace](https://claude.com/platform/marketplace), allowing customers to purchase GitLab Credits and apply them toward existing Anthropic spending commitments – consolidating AI spend and simplifying how teams discover and procure GitLab alongside their Anthropic investments.\n\n\n    ## Advancing an agentic future\n\n\n    GitLab's vision for agentic software development, where AI handles defined tasks autonomously across planning, coding, testing, securing, and deploying, requires models with strong reasoning, reliability, and safety characteristics. It also requires a platform where those autonomous actions are fully governed.\n\n\n    Agentic workflows demand models with strong reasoning, reliability, and safety characteristics, criteria that guide how GitLab selects and integrates AI model partners. And GitLab's governance framework helps ensure that as AI agents assume more advanced development work, enterprises maintain full visibility and control over what those agents do, when they do it, and how changes are tracked.\n\n\n    ## What this means for GitLab customers\n\n\n    If you're already using GitLab Duo Agent Platform, you'll get access to Claude models and deeper AI assistance across your software development lifecycle, all within the governance framework you already rely on.\n\n\n    If you're evaluating AI-powered software development platforms, you shouldn't have to choose between advanced AI capabilities and enterprise control. This strategic integration is built to deliver both.\n\n\n    > Want to learn more about GitLab Duo Agent Platform? [Get a demo or start a free trial today](https://about.gitlab.com/gitlab-duo-agent-platform/).\n  category: ai-ml\n  tags:\n    - AI/ML\n    - product\n    - partners\nconfig:\n  featured: true\n  template: BlogPost\n  slug: gitlab-and-anthropic-governed-ai-for-enterprise-development\n",{"config":707,"title":687,"description":697},{"noIndex":10},"en-us/blog/gitlab-and-anthropic-governed-ai-for-enterprise-development",[710,702,263],"aiml",[12,702,263],"9-40uTTU6FzM-dUzmufnhSjAdQYDbdOm-kXlubkGYW0",[714,723,732,741,750,759,768,776,785],{"content":715,"config":721},{"title":716,"heroImage":717,"category":9,"description":718,"authors":719},"Say hello to GitLab Duo Chat: A new level of AI-assisted productivity","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749669095/Blog/Hero%20Images/gitlabduo.png","Learn how GitLab Duo Chat, releasing Nov. 16 in Beta, can help elevate your coding skills, streamline onboarding, and supercharge team efficiency.",[720],"Torsten Linz",{"externalUrl":-1,"slug":722},"gitlab-duo-chat-beta",{"content":724,"config":730},{"title":725,"heroImage":726,"category":9,"description":727,"authors":728},"Drive secure growth at scale: Your GitLab AI, CI/CD, and customization toolkit","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749679194/Blog/Hero%20Images/duo-blog-post.png","Find out how the latest developments for the GitLab AI-powered DevSecOps Platform help organizations scale to enterprise levels.",[729],"Mike Flouton",{"externalUrl":-1,"slug":731},"gitlab-ai-cicd-customization-toolkit",{"content":733,"config":739},{"title":734,"heroImage":735,"category":9,"description":736,"authors":737},"Learn advanced Rust programming with a little help from AI","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662439/Blog/Hero%20Images/codewithheart.png","Use this guided tutorial, along with AI-powered GitLab Duo Code Suggestions, to continue learning advanced Rust programming.",[738],"Michael Friedrich",{"externalUrl":-1,"slug":740},"learn-advanced-rust-programming-with-a-little-help-from-ai-code-suggestions",{"content":742,"config":748},{"title":743,"heroImage":744,"category":9,"description":745,"authors":746},"Building GitLab with GitLab: Why there is no MLOps without DevSecOps","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659740/Blog/Hero%20Images/building-gitlab-with-gitlab-no-type.png","Follow along as data scientists adopt DevSecOps practices and enjoy the benefits of automation, repeatable workflows, standardization, and automatic provisioning of infrastructure.",[747],"William Arias",{"externalUrl":-1,"slug":749},"there-is-no-mlops-without-devsecops",{"content":751,"config":757},{"title":752,"heroImage":753,"category":9,"description":754,"authors":755},"Unblock code reviews with GitLab Suggested Reviewers","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749666316/Blog/Hero%20Images/codereview2.png","Identify the right reviewers more quickly, saving time and accelerating the software development lifecycle.",[756],"Itzik Gan Baruch",{"externalUrl":-1,"slug":758},"gitlab-suggested-reviewers",{"content":760,"config":766},{"title":761,"heroImage":762,"category":9,"description":763,"authors":764},"GitLab Global DevSecOps AI Report: Ushering in a new era of software development","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749663908/Blog/Hero%20Images/2023-devsecops-report-blog-banner2.png","Our survey found that DevSecOps teams are optimistic about AI, but privacy, security, and training emerged as key challenges to successful AI adoption.",[765],"Ashley Kramer",{"externalUrl":-1,"slug":767},"gitlab-global-devsecops-ai-report",{"content":769,"config":774},{"title":770,"heroImage":771,"category":9,"description":772,"authors":773},"Modern software development problems require modern AI-powered DevSecOps","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662840/Blog/Hero%20Images/ai-experiment-stars.png","Learn how applying AI can help solve common development challenges.",[747],{"externalUrl":-1,"slug":775},"modern-software-development-problems-require-modern-ai-powered-devsecops",{"content":777,"config":783},{"title":778,"heroImage":779,"category":9,"description":780,"authors":781},"Remediating vulnerabilities with GitLab's security insights and AI","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662877/Blog/Hero%20Images/security-cover-new.png","Learn how to leverage vulnerability insights and the Explain this Vulnerability AI feature to not only resolve a vulnerability, but also understand it.",[782],"Fernando Diaz",{"externalUrl":-1,"slug":784},"remediating-vulnerabilities-with-insights-and-ai",{"content":786,"config":792},{"title":787,"heroImage":788,"category":9,"description":789,"authors":790},"Explore the Dragon Realm: Build a C++ adventure game with a little help from AI","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749663344/Blog/Hero%20Images/compassinfield.jpg","How to use GitLab Duo Code Suggestions to create a text-based adventure game, including magical locations to visit and items to procure, using C++.",[791],"Fatima Sarah Khalid",{"externalUrl":-1,"slug":793},"building-a-text-adventure-using-cplusplus-and-code-suggestions",1777493653987]