GitLab has announced an expanded integration with Amazon Web Services (AWS), enabling customers to route GitLab Duo Agent Platform inference directly through Amazon Bedrock.
The company stated that the update is designed for enterprises already using AWS for software delivery and generative AI. With this integration, customers can leverage Amazon Bedrock models, existing AWS Identity and Access Management (IAM) policies, and current spending commitments without deploying a separate AI stack.
GitLab confirmed that its Duo Agent Platform will now support AI-driven DevSecOps functions such as code generation, merge request handling, and pipeline automation through Amazon Bedrock accounts already managed by customers. As a result, organizations can avoid creating new endpoints or entering separate billing arrangements.
Additionally, GitLab noted that customers purchasing through AWS Marketplace can apply GitLab Credits toward existing AWS spending commitments. This allows enterprises to expand AI adoption within their current commercial frameworks.
The company also introduced a governance layer that builds on Amazon Bedrock’s model controls. GitLab said administrators can enforce policies on AI model usage, while maintaining audit logs for agent activities alongside development workflows.
Furthermore, teams can standardize configurations across projects and regions, ensuring consistency in AI operations. GitLab emphasized that this capability will support enterprises aiming to scale AI adoption while maintaining compliance and oversight.
The announcement also includes enhancements to GitLab’s Bring Your Own Model (BYOM) option. Self-managed customers can now connect a self-hosted AI gateway directly to Amazon Bedrock within their AWS environments. This ensures that source code and inference traffic remain within internal network boundaries.
According to Rahul Pathak, Vice President, Data & AI GTM at AWS:
“GitLab Duo Agent Platform on Amazon Bedrock means customers can deploy agentic AI for software development without standing up new infrastructure, negotiating new contracts, or rethinking their security posture,” he said. “It runs inside their existing AWS environment – same IAM policies, same compliance controls, same spending commitments. That’s how AI adoption should work.”
GitLab also highlighted that the integration aligns with enterprise demand for solutions that fit existing cloud environments.
Manav Khurana, Chief Product and Marketing Officer at GitLab, said:
“Most enterprise leaders I talk to want to adopt agentic AI without building a second stack next to the cloud environment they already use,” said Manav Khurana. “For AWS customers, this integration makes that possible. GitLab Duo Agent Platform runs through Amazon Bedrock accounts they already manage, governed by policies they already enforce, and funded by commitments they’ve already made. AI adoption scales when it fits into decisions already made, not when it asks teams to make new ones.”
Industry adoption is already underway. Yoshiki Matsuda, COO of Fixstars Corporation, stated:
“As an organisation standardising on Amazon Bedrock for generative AI, GitLab Duo Agent Platform with Bring Your Own Model (BYOM) will let us apply AI across our software delivery lifecycle while keeping inference traffic and code within our AWS environment,” he said. “At Fixstars, we view AI as central to modern software development, and our own Fixstars AIBooster has already driven significant improvements in both the quality and speed of our application development. What drew us to the Bring Your Own Model approach is GitLab’s ability to orchestrate, secure, and govern workflows on top of the Bedrock investments and controls we already trust, without requiring a separate AI stack.”
The announcement reflects a broader industry trend where vendors increasingly integrate AI capabilities into existing cloud ecosystems, enabling enterprises to scale adoption without disrupting governance or infrastructure.
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