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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",[714,723,731,741,750,759,768,776,785],{"content":715,"config":721},{"title":716,"heroImage":717,"category":9,"description":718,"authors":719},"Give your AI agent direct, structured GitLab access with glab CLI","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776347152/unw3mzatkd5xyfbzcnni.png","The GitLab CLI (glab) provides AI agents structured, reliable access to projects via the MCP, eliminating friction. This tutorial shows how you can speed up code review and issue triage.",[720],"Kai Armstrong",{"externalUrl":-1,"slug":722},"give-your-ai-agent-direct-structured-gitlab-access-with-glab-cli",{"content":724,"config":729},{"title":725,"heroImage":717,"category":9,"description":726,"authors":727},"GitHub Copilot's new policy for AI training is a governance wake-up call","Learn what GitHub's Copilot policy change means for regulated industries, and why GitLab's commitment to customer data privacy matters.",[728],"Allie Holland",{"externalUrl":-1,"slug":730},"github-copilots-new-policy-for-ai-training-is-a-governance-wake-up-call",{"content":732,"config":739},{"title":733,"heroImage":734,"category":9,"description":735,"authors":736},"GitLab and Vertex AI on Google Cloud: Advancing agentic software development","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749663121/Blog/Hero%20Images/LogoLockupPlusLight.png","Learn how Google Cloud customers are standardizing on GitLab and Vertex AI for foundation models, enterprise controls, and Model Garden breadth.\n",[737,738],"Regnard Raquedan","Rajesh Agadi",{"externalUrl":-1,"slug":740},"gitlab-and-vertex-ai-on-google-cloud",{"content":742,"config":748},{"title":743,"heroImage":744,"category":9,"description":745,"authors":746},"Extend GitLab Duo Agent Platform: Connect any tool with MCP","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772643639/sapu29gmlgtwvhggmj6k.png","Learn how to connect external tools to GitLab Duo Agent Platform using MCP. Step-by-step setup with three practical workflow demos.",[747],"Albert Rabassa",{"externalUrl":-1,"slug":749},"extend-gitlab-duo-agent-platform-connect-any-tool-with-mcp",{"content":751,"config":757},{"title":752,"heroImage":753,"category":9,"description":754,"authors":755},"10 AI prompts to speed your team’s software delivery","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772632341/duj8vaznbhtyxxhodb17.png","Eliminate review backlogs, security delays, and coordination overhead with ready-to-use AI prompts covering every stage of the software lifecycle.",[756],"Chandler Gibbons",{"externalUrl":-1,"slug":758},"10-ai-prompts-to-speed-your-teams-software-delivery",{"content":760,"config":766},{"title":761,"heroImage":762,"category":9,"description":763,"authors":764},"AI can detect vulnerabilities, but who governs risk?","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772195014/ooezwusxjl1f7ijfmbvj.png","AI-assisted vulnerability detection is developing fast, but the harder challenges of enforcement, governance, and supply chain security require a holistic platform.",[765],"Omer Azaria",{"externalUrl":-1,"slug":767},"ai-can-detect-vulnerabilities-but-who-governs-risk",{"content":769,"config":774},{"title":770,"heroImage":771,"category":9,"description":772,"authors":773},"Secure and fast deployments to Google Agent Engine with GitLab","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772111172/mwhgbjawn62kymfwrhle.png","Follow this step-by-step guide to build an AI agent with Google's Agent Development Kit and deploy to Agent Engine using GitLab.",[737],{"externalUrl":-1,"slug":775},"secure-and-fast-deployments-to-google-agent-engine-with-gitlab",{"content":777,"config":783},{"title":778,"heroImage":779,"category":9,"description":780,"authors":781},"GitLab Duo Agent Platform with Claude accelerates development","https://res.cloudinary.com/about-gitlab-com/image/upload/v1772058602/epl3sinfezlzxnppxak6.png","Learn how to leverage external AI models like Anthropic's Claude to automate everything from code generation to pipeline creation directly within GitLab.",[782],"Cesar Saavedra",{"externalUrl":-1,"slug":784},"gitlab-duo-agent-platform-with-claude-accelerates-development",{"content":786,"config":790},{"title":787,"heroImage":788,"category":9,"description":789,"authors":-1},"Agentic SDLC: GitLab and TCS deliver Intelligent Orchestration across the enterprise","https://res.cloudinary.com/about-gitlab-com/image/upload/v1771866240/l16gpgupgz8uelyc8jfy.png","Scale DevSecOps with AI agents that work alongside developers to automate workflows, enforce compliance, and accelerate delivery.",{"externalUrl":-1,"slug":791},"agentic-sdlc-gitlab-and-tcs-deliver-intelligent-orchestration-across-the-enterprise",1777493593951]