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GitLab has expanded its collaboration with Google Cloud to bring advanced agentic capabilities to DevSecOps workflows. The integration allows AI agents in the GitLab Duo Agent Platform to leverage Vertex AI models while maintaining enterprise-grade governance and compliance.
GitLab Duo Agent Platform can now natively call Vertex AI models including Gemini, with agent actions governed by GitLab's compliance controls and audit logging .
Customers with Google Cloud commitments can count GitLab Duo Agent Platform usage toward their existing spend .
Organizations can run GitLab's AI Gateway on Google Cloud with no separate AI infrastructure to provision or manage .
Vertex AI Model Garden provides access to multiple foundation models, including Gemini, allowing teams to select based on performance, cost, or regulatory requirements .
GitLab serves as the system of record for issues, code, merge requests, pipelines, and security findings, providing full lifecycle context for AI agents .
Self-hosted customers can use Bring Your Own Model (BYOM) to connect approved models and gateways within their existing environments .
As AI agents become central to how teams build software, they need strong models and a governed environment to be effective in the enterprise. This partnership brings those together. Agents in GitLab Duo Agent Platform can now call Vertex AI models on Google Cloud natively, giving joint customers the model performance they expect with the governance GitLab already provides.
GitLab serves as the system of record for issues, code, merge requests, pipelines, and security findings. When an agent generates a code suggestion, it draws context from the issue that prompted the work, the repository's existing patterns, and the CI pipeline that will validate the result without leaving GitLab. Every agent action flows through the same access controls, approval rules, and audit logging that developers already follow, so governance does not stop when an agent takes over a task.
The Vertex AI Model Garden gives joint customers a choice of foundation models, including Gemini, so teams can select models based on performance, cost, or regulatory requirements. For self-hosted customers, GitLab's Bring Your Own Model option extends that flexibility further, letting teams connect their approved models and gateways. GitLab's AI Gateway, whether GitLab-managed or self-hosted, runs on Google Cloud runtimes like GKE or Cloud Run, keeping AI workloads on the infrastructure teams already manage.
“Google Cloud provides cutting-edge technology that helps partners innovate and deliver more impactful solutions for business transformation,” said Ritika Suri, managing director, AI and data partnerships, Google Cloud. “Through our partnership with GitLab, we will provide customers with innovative capabilities that can improve operations, enhance customer experiences, and drive innovation in the DevSecOps industry.”
“AI agents are only as good as the context they operate on and the governance around them,” said Manav Khurana, chief product and marketing officer, GitLab. “GitLab is where that context lives across issues, code, pipelines, security findings, and this partnership connects it to Vertex AI's strongest models. As agents take on more of the software lifecycle, the platform that provides both the context and the controls becomes the critical layer.”
The expanded collaboration strengthens enterprise readiness for agentic DevSecOps by combining powerful AI models with robust governance directly within the GitLab platform.
About GitLab
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
